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EM-618: Potential outcomes of multi-variable climate change on water resources in the Santa Basin, Peru
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EM-618 | |
Document Author
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Van Soesbergen, A. and M. Mulligan |
Document Year
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2018 |
Precipitation ?Comment:For the 50 year model projections (-2071), Individual monthly downscaled GCM output (Ramirez and Jarvis, 2010) for temperature and precipitation were combined by WaterWorld into multi-model ensemble per-pixel mean scenarios using 17 available GCM for the A2A (high growth/3.5°C) scenario and 24 GCM for the A1B (moderate growth/2.5°C) scenario. To capture this wide range of possible futures, as well as the multi-model mean for A2A and A1B, the multi-model mean plus (+) and minus (-) the inter-model standard deviation for both temperature and precipitation were also used as scenarios to drive the WaterWorld model resulting in a total of 6 ensemble scenarios (mean, mean-1SD, mean+1SD for two emissions scenarios). The mean-1SD can be considered the cool, dry end of projections whilst the mean+1SD is the warm, wet end of projections. Existing precipitation stations provided measurements used during the validation period (1950-2000). |
Temperature (air) ?Comment:For the 50 year model projections (-2071), Individual monthly downscaled GCM output (Ramirez and Jarvis, 2010) for temperature and precipitation were combined by WaterWorld into multi-model ensemble per-pixel mean scenarios using 17 available GCM for the A2A (high growth/3.5°C) scenario and 24 GCM for the A1B (moderate growth/2.5°C) scenario. WaterWorld takes into account diurnal temperature ranges by iterating through four diurnal time-steps that represent the mean diurnal cycle for each of the 12 monthly time-steps represented by the 50 year climatology. To capture this wide range of possible futures, as well as the multi-model mean for A2A and A1B, the multi-model mean plus (+) and minus (-) the inter-model standard deviation for both temperature and precipitation were also used as scenarios to drive the WaterWorld model resulting in a total of 6 ensemble scenarios (mean, mean-1SD, mean+1SD for two emissions scenarios). The mean-1SD can be considered the cool, dry end of projections whilst the mean+1SD is the warm, wet end of projections. Existing temperature stations provided measurements used during the validation period (1950-2000). |
Change in ET ?Comment:Modeled results for this response are presented as change relative to the simulated hydrological baseline for the period 1950-2000. |
Change in ET percent ?Comment:Modeled results for this response are presented as change relative to the simulated hydrological baseline for the period 1950-2000. |
Change in fog inputs ?Comment:Modeled results for this response are presented as change relative to the simulated hydrological baseline for the period 1950-2000. |
Change in fog inputs percent ?Comment:Modeled results for this response are presented as change relative to the simulated hydrological baseline for the period 1950-2000. |
Change in snowfall ?Comment:Modeled results for this response are presented as change relative to the simulated hydrological baseline for the period 1950-2000. |
Change in snowfall percent ?Comment:Modeled results for this response are presented as change relative to the simulated hydrological baseline for the period 1950-2000. |
Change in snowmelt ?Comment:Modeled results for this response are presented as change relative to the simulated hydrological baseline for the period 1950-2000. |
Change in snowmelt percent ?Comment:Modeled results for this response are presented as change relative to the simulated hydrological baseline for the period 1950-2000. |
Change in water balance ?Comment:Modeled results for this response are presented as change relative to the simulated hydrological baseline for the period 1950-2000. |
Change in water balance percent ?Comment:Modeled results for this response are presented as change relative to the simulated hydrological baseline for the period 1950-2000. |
Change in wind driven rainfall ?Comment:Modeled results for this response are presented as change relative to the simulated hydrological baseline for the period 1950-2000. |
Change in wind driven rainfall percent ?Comment:Modeled results for this response are presented as change relative to the simulated hydrological baseline for the period 1950-2000. |
ET seasonality ?Comment:To assess shifts in seasonality for the Rio Santa basin for all water balance fluxes, the seasonality index of Walsh and Lawler (1981) modified to handle negative values (by offsetting by the minimum so that all negatives become positive) was calculated using WaterWorld for the baseline and for the climate change scenarios for comparison. An index value of greater than 0.4 is considered seasonal, >0.8 marked seasonal with a long dry season and >1.2 extreme seasonal with almost all water available in 1-2 months. |
Melt runoff (Caraz) ?Comment:Melt water contribution, total stream flow and melt water generated stream flow were analysed at the basin level (Santa outflow) and for two of the largest, most populous, high altitude cities in the basin: Caraz, with a population of circa 13,000 and Huaraz with a population of circa 96,000. |
Melt runoff (Huaraz) ?Comment:Melt water contribution, total stream flow and melt water generated stream flow were analysed at the basin level (Santa outflow) and for two of the largest, most populous, high altitude cities in the basin: Caraz, with a population of circa 13,000 and Huaraz with a population of circa 96,000. |
Melt runoff (Santa outflow) ?Comment:Melt water contribution, total stream flow and melt water generated stream flow were analysed at the basin level (Santa outflow) and for two of the largest, most populous, high altitude cities in the basin: Caraz, with a population of circa 13,000 and Huaraz with a population of circa 96,000. |
Melt water seasonality ?Comment:To assess shifts in seasonality for the Rio Santa basin for all water balance fluxes, the seasonality index of Walsh and Lawler (1981) modified to handle negative values (by offsetting by the minimum so that all negatives become positive) was calculated using WaterWorld for the baseline and for the climate change scenarios for comparison. An index value of greater than 0.4 is considered seasonal, >0.8 marked seasonal with a long dry season and >1.2 extreme seasonal with almost all water available in 1-2 months. |
Rainfall seasonality ?Comment:To assess shifts in seasonality for the Rio Santa basin for all water balance fluxes, the seasonality index of Walsh and Lawler (1981) modified to handle negative values (by offsetting by the minimum so that all negatives become positive) was calculated using WaterWorld for the baseline and for the climate change scenarios for comparison. An index value of greater than 0.4 is considered seasonal, >0.8 marked seasonal with a long dry season and >1.2 extreme seasonal with almost all water available in 1-2 months. |
Snow pack seasonality ?Comment:To assess shifts in seasonality for the Rio Santa basin for all water balance fluxes, the seasonality index of Walsh and Lawler (1981) modified to handle negative values (by offsetting by the minimum so that all negatives become positive) was calculated using WaterWorld for the baseline and for the climate change scenarios for comparison. An index value of greater than 0.4 is considered seasonal, >0.8 marked seasonal with a long dry season and >1.2 extreme seasonal with almost all water available in 1-2 months. |
Snowfall seasonality ?Comment:To assess shifts in seasonality for the Rio Santa basin for all water balance fluxes, the seasonality index of Walsh and Lawler (1981) modified to handle negative values (by offsetting by the minimum so that all negatives become positive) was calculated using WaterWorld for the baseline and for the climate change scenarios for comparison. An index value of greater than 0.4 is considered seasonal, >0.8 marked seasonal with a long dry season and >1.2 extreme seasonal with almost all water available in 1-2 months. |
Total runoff (Caraz) ?Comment:Melt water contribution, total stream flow and melt water generated stream flow were analysed at the basin level (Santa outflow) and for two of the largest, most populous, high altitude cities in the basin: Caraz, with a population of circa 13,000 and Huaraz with a population of circa 96,000. |
Total runoff (Huaraz) ?Comment:Melt water contribution, total stream flow and melt water generated stream flow were analysed at the basin level (Santa outflow) and for two of the largest, most populous, high altitude cities in the basin: Caraz, with a population of circa 13,000 and Huaraz with a population of circa 96,000. |
Total runoff (Santa outflow) ?Comment:Melt water contribution, total stream flow and melt water generated stream flow were analysed at the basin level (Santa outflow) and for two of the largest, most populous, high altitude cities in the basin: Caraz, with a population of circa 13,000 and Huaraz with a population of circa 96,000. |
Water balance seasonality ?Comment:To assess shifts in seasonality for the Rio Santa basin for all water balance fluxes, the seasonality index of Walsh and Lawler (1981) modified to handle negative values (by offsetting by the minimum so that all negatives become positive) was calculated using WaterWorld for the baseline and for the climate change scenarios for comparison. An index value of greater than 0.4 is considered seasonal, >0.8 marked seasonal with a long dry season and >1.2 extreme seasonal with almost all water available in 1-2 months. |
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Variable ID
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14655 | 14654 | 14660 | 14661 | 14662 | 14663 | 14666 | 14667 | 14664 | 14665 | 14656 | 14657 | 14658 | 14659 | 14670 | 14683 | 14678 | 14685 | 14672 | 14669 | 14673 | 14671 | 14681 | 14674 | 14684 | 14668 |
Not reported | Not reported | Not reported | Not reported | Not reported | Not reported | Not reported | Not reported | Not reported | Not reported | Not reported | Not reported | Not reported | Not reported | Not reported | Melt Q | Melt Q | Melt Q | Not reported | Not reported | Not reported | Not reported | Total Q | Total Q | Total Q | Not reported | |
Qualitative-Quantitative
variable.detail.continuousCategoricalHelp
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Quantitative (Cardinal Only) | Quantitative (Cardinal Only) | Quantitative (Cardinal Only) | Quantitative (Cardinal Only) | Quantitative (Cardinal Only) | Quantitative (Cardinal Only) | Quantitative (Cardinal Only) | Quantitative (Cardinal Only) | Quantitative (Cardinal Only) | Quantitative (Cardinal Only) | Quantitative (Cardinal Only) | Quantitative (Cardinal Only) | Quantitative (Cardinal Only) | Quantitative (Cardinal Only) | Quantitative (Cardinal Only) | Quantitative (Cardinal Only) | Quantitative (Cardinal Only) | Quantitative (Cardinal Only) | Quantitative (Cardinal Only) | Quantitative (Cardinal Only) | Quantitative (Cardinal Only) | Quantitative (Cardinal Only) | Quantitative (Cardinal Only) | Quantitative (Cardinal Only) | Quantitative (Cardinal Only) | Quantitative (Cardinal Only) |
Cardinal-Ordinal
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Cardinal | Cardinal | Cardinal | Cardinal | Cardinal | Cardinal | Cardinal | Cardinal | Cardinal | Cardinal | Cardinal | Cardinal | Cardinal | Cardinal | Cardinal | Cardinal | Cardinal | Cardinal | Cardinal | Cardinal | Cardinal | Cardinal | Cardinal | Cardinal | Cardinal | Cardinal |
°C | °C | mm yr^-1 | % | mm yr^-1 | % | mm yr^-1 | % | mm yr^-1 | % | mm yr^-1 | % | mm yr^-1 | % | unitless | m^3 s^-1 | m^3 s^-1 | m^3 s^-1 | unitless | unitless | unitless | unitless | m^3 s^-1 | m^3 s^-1 | m^3 s^-1 | unitless |
Precipitation ?Comment:For the 50 year model projections (-2071), Individual monthly downscaled GCM output (Ramirez and Jarvis, 2010) for temperature and precipitation were combined by WaterWorld into multi-model ensemble per-pixel mean scenarios using 17 available GCM for the A2A (high growth/3.5°C) scenario and 24 GCM for the A1B (moderate growth/2.5°C) scenario. To capture this wide range of possible futures, as well as the multi-model mean for A2A and A1B, the multi-model mean plus (+) and minus (-) the inter-model standard deviation for both temperature and precipitation were also used as scenarios to drive the WaterWorld model resulting in a total of 6 ensemble scenarios (mean, mean-1SD, mean+1SD for two emissions scenarios). The mean-1SD can be considered the cool, dry end of projections whilst the mean+1SD is the warm, wet end of projections. Existing precipitation stations provided measurements used during the validation period (1950-2000). |
Temperature (air) ?Comment:For the 50 year model projections (-2071), Individual monthly downscaled GCM output (Ramirez and Jarvis, 2010) for temperature and precipitation were combined by WaterWorld into multi-model ensemble per-pixel mean scenarios using 17 available GCM for the A2A (high growth/3.5°C) scenario and 24 GCM for the A1B (moderate growth/2.5°C) scenario. WaterWorld takes into account diurnal temperature ranges by iterating through four diurnal time-steps that represent the mean diurnal cycle for each of the 12 monthly time-steps represented by the 50 year climatology. To capture this wide range of possible futures, as well as the multi-model mean for A2A and A1B, the multi-model mean plus (+) and minus (-) the inter-model standard deviation for both temperature and precipitation were also used as scenarios to drive the WaterWorld model resulting in a total of 6 ensemble scenarios (mean, mean-1SD, mean+1SD for two emissions scenarios). The mean-1SD can be considered the cool, dry end of projections whilst the mean+1SD is the warm, wet end of projections. Existing temperature stations provided measurements used during the validation period (1950-2000). |
Change in ET ?Comment:Modeled results for this response are presented as change relative to the simulated hydrological baseline for the period 1950-2000. |
Change in ET percent ?Comment:Modeled results for this response are presented as change relative to the simulated hydrological baseline for the period 1950-2000. |
Change in fog inputs ?Comment:Modeled results for this response are presented as change relative to the simulated hydrological baseline for the period 1950-2000. |
Change in fog inputs percent ?Comment:Modeled results for this response are presented as change relative to the simulated hydrological baseline for the period 1950-2000. |
Change in snowfall ?Comment:Modeled results for this response are presented as change relative to the simulated hydrological baseline for the period 1950-2000. |
Change in snowfall percent ?Comment:Modeled results for this response are presented as change relative to the simulated hydrological baseline for the period 1950-2000. |
Change in snowmelt ?Comment:Modeled results for this response are presented as change relative to the simulated hydrological baseline for the period 1950-2000. |
Change in snowmelt percent ?Comment:Modeled results for this response are presented as change relative to the simulated hydrological baseline for the period 1950-2000. |
Change in water balance ?Comment:Modeled results for this response are presented as change relative to the simulated hydrological baseline for the period 1950-2000. |
Change in water balance percent ?Comment:Modeled results for this response are presented as change relative to the simulated hydrological baseline for the period 1950-2000. |
Change in wind driven rainfall ?Comment:Modeled results for this response are presented as change relative to the simulated hydrological baseline for the period 1950-2000. |
Change in wind driven rainfall percent ?Comment:Modeled results for this response are presented as change relative to the simulated hydrological baseline for the period 1950-2000. |
ET seasonality ?Comment:To assess shifts in seasonality for the Rio Santa basin for all water balance fluxes, the seasonality index of Walsh and Lawler (1981) modified to handle negative values (by offsetting by the minimum so that all negatives become positive) was calculated using WaterWorld for the baseline and for the climate change scenarios for comparison. An index value of greater than 0.4 is considered seasonal, >0.8 marked seasonal with a long dry season and >1.2 extreme seasonal with almost all water available in 1-2 months. |
Melt runoff (Caraz) ?Comment:Melt water contribution, total stream flow and melt water generated stream flow were analysed at the basin level (Santa outflow) and for two of the largest, most populous, high altitude cities in the basin: Caraz, with a population of circa 13,000 and Huaraz with a population of circa 96,000. |
Melt runoff (Huaraz) ?Comment:Melt water contribution, total stream flow and melt water generated stream flow were analysed at the basin level (Santa outflow) and for two of the largest, most populous, high altitude cities in the basin: Caraz, with a population of circa 13,000 and Huaraz with a population of circa 96,000. |
Melt runoff (Santa outflow) ?Comment:Melt water contribution, total stream flow and melt water generated stream flow were analysed at the basin level (Santa outflow) and for two of the largest, most populous, high altitude cities in the basin: Caraz, with a population of circa 13,000 and Huaraz with a population of circa 96,000. |
Melt water seasonality ?Comment:To assess shifts in seasonality for the Rio Santa basin for all water balance fluxes, the seasonality index of Walsh and Lawler (1981) modified to handle negative values (by offsetting by the minimum so that all negatives become positive) was calculated using WaterWorld for the baseline and for the climate change scenarios for comparison. An index value of greater than 0.4 is considered seasonal, >0.8 marked seasonal with a long dry season and >1.2 extreme seasonal with almost all water available in 1-2 months. |
Rainfall seasonality ?Comment:To assess shifts in seasonality for the Rio Santa basin for all water balance fluxes, the seasonality index of Walsh and Lawler (1981) modified to handle negative values (by offsetting by the minimum so that all negatives become positive) was calculated using WaterWorld for the baseline and for the climate change scenarios for comparison. An index value of greater than 0.4 is considered seasonal, >0.8 marked seasonal with a long dry season and >1.2 extreme seasonal with almost all water available in 1-2 months. |
Snow pack seasonality ?Comment:To assess shifts in seasonality for the Rio Santa basin for all water balance fluxes, the seasonality index of Walsh and Lawler (1981) modified to handle negative values (by offsetting by the minimum so that all negatives become positive) was calculated using WaterWorld for the baseline and for the climate change scenarios for comparison. An index value of greater than 0.4 is considered seasonal, >0.8 marked seasonal with a long dry season and >1.2 extreme seasonal with almost all water available in 1-2 months. |
Snowfall seasonality ?Comment:To assess shifts in seasonality for the Rio Santa basin for all water balance fluxes, the seasonality index of Walsh and Lawler (1981) modified to handle negative values (by offsetting by the minimum so that all negatives become positive) was calculated using WaterWorld for the baseline and for the climate change scenarios for comparison. An index value of greater than 0.4 is considered seasonal, >0.8 marked seasonal with a long dry season and >1.2 extreme seasonal with almost all water available in 1-2 months. |
Total runoff (Caraz) ?Comment:Melt water contribution, total stream flow and melt water generated stream flow were analysed at the basin level (Santa outflow) and for two of the largest, most populous, high altitude cities in the basin: Caraz, with a population of circa 13,000 and Huaraz with a population of circa 96,000. |
Total runoff (Huaraz) ?Comment:Melt water contribution, total stream flow and melt water generated stream flow were analysed at the basin level (Santa outflow) and for two of the largest, most populous, high altitude cities in the basin: Caraz, with a population of circa 13,000 and Huaraz with a population of circa 96,000. |
Total runoff (Santa outflow) ?Comment:Melt water contribution, total stream flow and melt water generated stream flow were analysed at the basin level (Santa outflow) and for two of the largest, most populous, high altitude cities in the basin: Caraz, with a population of circa 13,000 and Huaraz with a population of circa 96,000. |
Water balance seasonality ?Comment:To assess shifts in seasonality for the Rio Santa basin for all water balance fluxes, the seasonality index of Walsh and Lawler (1981) modified to handle negative values (by offsetting by the minimum so that all negatives become positive) was calculated using WaterWorld for the baseline and for the climate change scenarios for comparison. An index value of greater than 0.4 is considered seasonal, >0.8 marked seasonal with a long dry season and >1.2 extreme seasonal with almost all water available in 1-2 months. |
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Predictor-Intermediate-Response
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Predictor |
Predictor |
Response |
Response |
Response |
Response |
Response |
Response |
Response |
Response |
Response |
Response |
Response |
Response |
Response |
Response |
Response |
Response |
Response |
Response |
Response |
Response |
Response |
Response |
Response |
Response |
Predictor Variable Type
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Time- or Space-varying Variable |
Time- or Space-varying Variable |
Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable |
Response Variable Type
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Not applicable | Not applicable |
Computed Variable |
Computed Variable |
Computed Variable |
Computed Variable |
Computed Variable |
Computed Variable |
Computed Variable |
Computed Variable |
Computed Variable |
Computed Variable |
Computed Variable |
Computed Variable |
Computed Variable |
Computed Variable |
Computed Variable |
Computed Variable |
Computed Variable |
Computed Variable |
Computed Variable |
Computed Variable |
Computed Variable |
Computed Variable |
Computed Variable |
Computed Variable |
Data Source/Type
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Map or database (e.g., wide coverage, wide availability, measured or modeled) | Map or database (e.g., wide coverage, wide availability, measured or modeled) | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable |
Variable Classification Hierarchy
variable.detail.vchLevel1Help
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5. Ecosystem Attributes and Potential Supply of Ecosystem Goods and Services |
5. Ecosystem Attributes and Potential Supply of Ecosystem Goods and Services |
5. Ecosystem Attributes and Potential Supply of Ecosystem Goods and Services |
5. Ecosystem Attributes and Potential Supply of Ecosystem Goods and Services |
5. Ecosystem Attributes and Potential Supply of Ecosystem Goods and Services |
5. Ecosystem Attributes and Potential Supply of Ecosystem Goods and Services |
5. Ecosystem Attributes and Potential Supply of Ecosystem Goods and Services |
5. Ecosystem Attributes and Potential Supply of Ecosystem Goods and Services |
5. Ecosystem Attributes and Potential Supply of Ecosystem Goods and Services |
5. Ecosystem Attributes and Potential Supply of Ecosystem Goods and Services |
5. Ecosystem Attributes and Potential Supply of Ecosystem Goods and Services |
5. Ecosystem Attributes and Potential Supply of Ecosystem Goods and Services |
5. Ecosystem Attributes and Potential Supply of Ecosystem Goods and Services |
5. Ecosystem Attributes and Potential Supply of Ecosystem Goods and Services |
5. Ecosystem Attributes and Potential Supply of Ecosystem Goods and Services |
5. Ecosystem Attributes and Potential Supply of Ecosystem Goods and Services |
5. Ecosystem Attributes and Potential Supply of Ecosystem Goods and Services |
5. Ecosystem Attributes and Potential Supply of Ecosystem Goods and Services |
5. Ecosystem Attributes and Potential Supply of Ecosystem Goods and Services |
5. Ecosystem Attributes and Potential Supply of Ecosystem Goods and Services |
5. Ecosystem Attributes and Potential Supply of Ecosystem Goods and Services |
5. Ecosystem Attributes and Potential Supply of Ecosystem Goods and Services |
5. Ecosystem Attributes and Potential Supply of Ecosystem Goods and Services |
5. Ecosystem Attributes and Potential Supply of Ecosystem Goods and Services |
5. Ecosystem Attributes and Potential Supply of Ecosystem Goods and Services |
5. Ecosystem Attributes and Potential Supply of Ecosystem Goods and Services |
--Physical/chemical characteristics of nonliving ecosystem components |
--Physical/chemical characteristics of nonliving ecosystem components |
--Physical/chemical characteristics of nonliving ecosystem components |
--Physical/chemical characteristics of nonliving ecosystem components |
--Physical/chemical characteristics of nonliving ecosystem components |
--Physical/chemical characteristics of nonliving ecosystem components |
--Physical/chemical characteristics of nonliving ecosystem components |
--Physical/chemical characteristics of nonliving ecosystem components |
--Physical/chemical characteristics of nonliving ecosystem components |
--Physical/chemical characteristics of nonliving ecosystem components |
--CICES categories: Ecosystem goods and services - or landscape-level indices of suitability to supply EGS |
--CICES categories: Ecosystem goods and services - or landscape-level indices of suitability to supply EGS |
--Physical/chemical characteristics of nonliving ecosystem components |
--Physical/chemical characteristics of nonliving ecosystem components |
--Physical/chemical characteristics of nonliving ecosystem components |
--Physical/chemical characteristics of nonliving ecosystem components |
--Physical/chemical characteristics of nonliving ecosystem components |
--Physical/chemical characteristics of nonliving ecosystem components |
--Physical/chemical characteristics of nonliving ecosystem components |
--Physical/chemical characteristics of nonliving ecosystem components |
--Physical/chemical characteristics of nonliving ecosystem components |
--Physical/chemical characteristics of nonliving ecosystem components |
--CICES categories: Ecosystem goods and services - or landscape-level indices of suitability to supply EGS |
--CICES categories: Ecosystem goods and services - or landscape-level indices of suitability to supply EGS |
--CICES categories: Ecosystem goods and services - or landscape-level indices of suitability to supply EGS |
--CICES categories: Ecosystem goods and services - or landscape-level indices of suitability to supply EGS |
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----Physical/chemical characteristics of air, meteorology and precipitation |
----Physical/chemical characteristics of air, meteorology and precipitation |
----Physical/chemical characteristics of water |
----Physical/chemical characteristics of water |
----Physical/chemical characteristics of air, meteorology and precipitation |
----Physical/chemical characteristics of air, meteorology and precipitation |
----Physical/chemical characteristics of air, meteorology and precipitation |
----Physical/chemical characteristics of air, meteorology and precipitation |
----Physical/chemical characteristics of water |
----Physical/chemical characteristics of water |
----Suitability to supply regulation & maintenance services-Mediation of flows |
----Suitability to supply regulation & maintenance services-Mediation of flows |
----Physical/chemical characteristics of air, meteorology and precipitation |
----Physical/chemical characteristics of air, meteorology and precipitation |
----Physical/chemical characteristics of water |
----Physical/chemical characteristics of water |
----Physical/chemical characteristics of water |
----Physical/chemical characteristics of water |
----Physical/chemical characteristics of water |
----Physical/chemical characteristics of air, meteorology and precipitation |
----Physical/chemical characteristics of water |
----Physical/chemical characteristics of air, meteorology and precipitation |
----Suitability to supply regulation & maintenance services-Mediation of flows |
----Suitability to supply regulation & maintenance services-Mediation of flows |
----Suitability to supply regulation & maintenance services-Mediation of flows |
----Suitability to supply regulation & maintenance services-Mediation of flows |
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------Meteorology data and parameters (including precipitation) |
------Meteorology data and parameters (including precipitation) |
------Evapotranspiration (via soil and/or vegetation) |
------Evapotranspiration (via soil and/or vegetation) |
------Meteorology data and parameters (including precipitation) |
------Meteorology data and parameters (including precipitation) |
------Meteorology data and parameters (including precipitation) |
------Meteorology data and parameters (including precipitation) |
------Other, multiple, unspecified or unclear |
------Other, multiple, unspecified or unclear |
------Hydrological cycle and water flow maintenance |
------Hydrological cycle and water flow maintenance |
------Meteorology data and parameters (including precipitation) |
------Meteorology data and parameters (including precipitation) |
------Evapotranspiration (via soil and/or vegetation) |
------Water volume or flow over ground surface (i.e., runoff) |
------Water volume or flow over ground surface (i.e., runoff) |
------Water volume or flow over ground surface (i.e., runoff) |
------Other, multiple, unspecified or unclear |
------Meteorology data and parameters (including precipitation) |
------Other, multiple, unspecified or unclear |
------Meteorology data and parameters (including precipitation) |
------Hydrological cycle and water flow maintenance |
------Hydrological cycle and water flow maintenance |
------Hydrological cycle and water flow maintenance |
------Hydrological cycle and water flow maintenance |
Precipitation ?Comment:For the 50 year model projections (-2071), Individual monthly downscaled GCM output (Ramirez and Jarvis, 2010) for temperature and precipitation were combined by WaterWorld into multi-model ensemble per-pixel mean scenarios using 17 available GCM for the A2A (high growth/3.5°C) scenario and 24 GCM for the A1B (moderate growth/2.5°C) scenario. To capture this wide range of possible futures, as well as the multi-model mean for A2A and A1B, the multi-model mean plus (+) and minus (-) the inter-model standard deviation for both temperature and precipitation were also used as scenarios to drive the WaterWorld model resulting in a total of 6 ensemble scenarios (mean, mean-1SD, mean+1SD for two emissions scenarios). The mean-1SD can be considered the cool, dry end of projections whilst the mean+1SD is the warm, wet end of projections. Existing precipitation stations provided measurements used during the validation period (1950-2000). |
Temperature (air) ?Comment:For the 50 year model projections (-2071), Individual monthly downscaled GCM output (Ramirez and Jarvis, 2010) for temperature and precipitation were combined by WaterWorld into multi-model ensemble per-pixel mean scenarios using 17 available GCM for the A2A (high growth/3.5°C) scenario and 24 GCM for the A1B (moderate growth/2.5°C) scenario. WaterWorld takes into account diurnal temperature ranges by iterating through four diurnal time-steps that represent the mean diurnal cycle for each of the 12 monthly time-steps represented by the 50 year climatology. To capture this wide range of possible futures, as well as the multi-model mean for A2A and A1B, the multi-model mean plus (+) and minus (-) the inter-model standard deviation for both temperature and precipitation were also used as scenarios to drive the WaterWorld model resulting in a total of 6 ensemble scenarios (mean, mean-1SD, mean+1SD for two emissions scenarios). The mean-1SD can be considered the cool, dry end of projections whilst the mean+1SD is the warm, wet end of projections. Existing temperature stations provided measurements used during the validation period (1950-2000). |
Change in ET ?Comment:Modeled results for this response are presented as change relative to the simulated hydrological baseline for the period 1950-2000. |
Change in ET percent ?Comment:Modeled results for this response are presented as change relative to the simulated hydrological baseline for the period 1950-2000. |
Change in fog inputs ?Comment:Modeled results for this response are presented as change relative to the simulated hydrological baseline for the period 1950-2000. |
Change in fog inputs percent ?Comment:Modeled results for this response are presented as change relative to the simulated hydrological baseline for the period 1950-2000. |
Change in snowfall ?Comment:Modeled results for this response are presented as change relative to the simulated hydrological baseline for the period 1950-2000. |
Change in snowfall percent ?Comment:Modeled results for this response are presented as change relative to the simulated hydrological baseline for the period 1950-2000. |
Change in snowmelt ?Comment:Modeled results for this response are presented as change relative to the simulated hydrological baseline for the period 1950-2000. |
Change in snowmelt percent ?Comment:Modeled results for this response are presented as change relative to the simulated hydrological baseline for the period 1950-2000. |
Change in water balance ?Comment:Modeled results for this response are presented as change relative to the simulated hydrological baseline for the period 1950-2000. |
Change in water balance percent ?Comment:Modeled results for this response are presented as change relative to the simulated hydrological baseline for the period 1950-2000. |
Change in wind driven rainfall ?Comment:Modeled results for this response are presented as change relative to the simulated hydrological baseline for the period 1950-2000. |
Change in wind driven rainfall percent ?Comment:Modeled results for this response are presented as change relative to the simulated hydrological baseline for the period 1950-2000. |
ET seasonality ?Comment:To assess shifts in seasonality for the Rio Santa basin for all water balance fluxes, the seasonality index of Walsh and Lawler (1981) modified to handle negative values (by offsetting by the minimum so that all negatives become positive) was calculated using WaterWorld for the baseline and for the climate change scenarios for comparison. An index value of greater than 0.4 is considered seasonal, >0.8 marked seasonal with a long dry season and >1.2 extreme seasonal with almost all water available in 1-2 months. |
Melt runoff (Caraz) ?Comment:Melt water contribution, total stream flow and melt water generated stream flow were analysed at the basin level (Santa outflow) and for two of the largest, most populous, high altitude cities in the basin: Caraz, with a population of circa 13,000 and Huaraz with a population of circa 96,000. |
Melt runoff (Huaraz) ?Comment:Melt water contribution, total stream flow and melt water generated stream flow were analysed at the basin level (Santa outflow) and for two of the largest, most populous, high altitude cities in the basin: Caraz, with a population of circa 13,000 and Huaraz with a population of circa 96,000. |
Melt runoff (Santa outflow) ?Comment:Melt water contribution, total stream flow and melt water generated stream flow were analysed at the basin level (Santa outflow) and for two of the largest, most populous, high altitude cities in the basin: Caraz, with a population of circa 13,000 and Huaraz with a population of circa 96,000. |
Melt water seasonality ?Comment:To assess shifts in seasonality for the Rio Santa basin for all water balance fluxes, the seasonality index of Walsh and Lawler (1981) modified to handle negative values (by offsetting by the minimum so that all negatives become positive) was calculated using WaterWorld for the baseline and for the climate change scenarios for comparison. An index value of greater than 0.4 is considered seasonal, >0.8 marked seasonal with a long dry season and >1.2 extreme seasonal with almost all water available in 1-2 months. |
Rainfall seasonality ?Comment:To assess shifts in seasonality for the Rio Santa basin for all water balance fluxes, the seasonality index of Walsh and Lawler (1981) modified to handle negative values (by offsetting by the minimum so that all negatives become positive) was calculated using WaterWorld for the baseline and for the climate change scenarios for comparison. An index value of greater than 0.4 is considered seasonal, >0.8 marked seasonal with a long dry season and >1.2 extreme seasonal with almost all water available in 1-2 months. |
Snow pack seasonality ?Comment:To assess shifts in seasonality for the Rio Santa basin for all water balance fluxes, the seasonality index of Walsh and Lawler (1981) modified to handle negative values (by offsetting by the minimum so that all negatives become positive) was calculated using WaterWorld for the baseline and for the climate change scenarios for comparison. An index value of greater than 0.4 is considered seasonal, >0.8 marked seasonal with a long dry season and >1.2 extreme seasonal with almost all water available in 1-2 months. |
Snowfall seasonality ?Comment:To assess shifts in seasonality for the Rio Santa basin for all water balance fluxes, the seasonality index of Walsh and Lawler (1981) modified to handle negative values (by offsetting by the minimum so that all negatives become positive) was calculated using WaterWorld for the baseline and for the climate change scenarios for comparison. An index value of greater than 0.4 is considered seasonal, >0.8 marked seasonal with a long dry season and >1.2 extreme seasonal with almost all water available in 1-2 months. |
Total runoff (Caraz) ?Comment:Melt water contribution, total stream flow and melt water generated stream flow were analysed at the basin level (Santa outflow) and for two of the largest, most populous, high altitude cities in the basin: Caraz, with a population of circa 13,000 and Huaraz with a population of circa 96,000. |
Total runoff (Huaraz) ?Comment:Melt water contribution, total stream flow and melt water generated stream flow were analysed at the basin level (Santa outflow) and for two of the largest, most populous, high altitude cities in the basin: Caraz, with a population of circa 13,000 and Huaraz with a population of circa 96,000. |
Total runoff (Santa outflow) ?Comment:Melt water contribution, total stream flow and melt water generated stream flow were analysed at the basin level (Santa outflow) and for two of the largest, most populous, high altitude cities in the basin: Caraz, with a population of circa 13,000 and Huaraz with a population of circa 96,000. |
Water balance seasonality ?Comment:To assess shifts in seasonality for the Rio Santa basin for all water balance fluxes, the seasonality index of Walsh and Lawler (1981) modified to handle negative values (by offsetting by the minimum so that all negatives become positive) was calculated using WaterWorld for the baseline and for the climate change scenarios for comparison. An index value of greater than 0.4 is considered seasonal, >0.8 marked seasonal with a long dry season and >1.2 extreme seasonal with almost all water available in 1-2 months. |
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Spatial Extent Area
variable.detail.spExtentHelp
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10,000-100,000 km^2 | 10,000-100,000 km^2 | 10,000-100,000 km^2 | 10,000-100,000 km^2 | 10,000-100,000 km^2 | 10,000-100,000 km^2 | 10,000-100,000 km^2 | 10,000-100,000 km^2 | 10,000-100,000 km^2 | 10,000-100,000 km^2 | 10,000-100,000 km^2 | 10,000-100,000 km^2 | 10,000-100,000 km^2 | 10,000-100,000 km^2 | 10,000-100,000 km^2 | 10,000-100,000 km^2 | 10,000-100,000 km^2 | 10,000-100,000 km^2 | 10,000-100,000 km^2 | 10,000-100,000 km^2 | 10,000-100,000 km^2 | 10,000-100,000 km^2 | 10,000-100,000 km^2 | 10,000-100,000 km^2 | 10,000-100,000 km^2 | 10,000-100,000 km^2 |
Spatially Distributed?
variable.detail.spDistributedHelp
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Yes | Yes | No | No | No | No | No | No | No | No | No | No | No | No | No | No | No | No | No | No | No | No | No | No | No | No |
Observations Spatially Patterned?
variable.detail.regularSpGrainHelp
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Yes | Yes | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable |
Spatial Grain Type
variable.detail.spGrainTypeHelp
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area, for pixel or radial feature | area, for pixel or radial feature | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable |
Spatial Grain Size
variable.detail.spGrainSizeHelp
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1 km2 | 1 km2 | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable |
Spatial Density
variable.detail.spDensityHelp
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Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable |
EnviroAtlas URL
variable.detail.enviroAtlasURLHelp
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Average Annual Precipitation | Average Annual Precipitation |
Precipitation ?Comment:For the 50 year model projections (-2071), Individual monthly downscaled GCM output (Ramirez and Jarvis, 2010) for temperature and precipitation were combined by WaterWorld into multi-model ensemble per-pixel mean scenarios using 17 available GCM for the A2A (high growth/3.5°C) scenario and 24 GCM for the A1B (moderate growth/2.5°C) scenario. To capture this wide range of possible futures, as well as the multi-model mean for A2A and A1B, the multi-model mean plus (+) and minus (-) the inter-model standard deviation for both temperature and precipitation were also used as scenarios to drive the WaterWorld model resulting in a total of 6 ensemble scenarios (mean, mean-1SD, mean+1SD for two emissions scenarios). The mean-1SD can be considered the cool, dry end of projections whilst the mean+1SD is the warm, wet end of projections. Existing precipitation stations provided measurements used during the validation period (1950-2000). |
Temperature (air) ?Comment:For the 50 year model projections (-2071), Individual monthly downscaled GCM output (Ramirez and Jarvis, 2010) for temperature and precipitation were combined by WaterWorld into multi-model ensemble per-pixel mean scenarios using 17 available GCM for the A2A (high growth/3.5°C) scenario and 24 GCM for the A1B (moderate growth/2.5°C) scenario. WaterWorld takes into account diurnal temperature ranges by iterating through four diurnal time-steps that represent the mean diurnal cycle for each of the 12 monthly time-steps represented by the 50 year climatology. To capture this wide range of possible futures, as well as the multi-model mean for A2A and A1B, the multi-model mean plus (+) and minus (-) the inter-model standard deviation for both temperature and precipitation were also used as scenarios to drive the WaterWorld model resulting in a total of 6 ensemble scenarios (mean, mean-1SD, mean+1SD for two emissions scenarios). The mean-1SD can be considered the cool, dry end of projections whilst the mean+1SD is the warm, wet end of projections. Existing temperature stations provided measurements used during the validation period (1950-2000). |
Change in ET ?Comment:Modeled results for this response are presented as change relative to the simulated hydrological baseline for the period 1950-2000. |
Change in ET percent ?Comment:Modeled results for this response are presented as change relative to the simulated hydrological baseline for the period 1950-2000. |
Change in fog inputs ?Comment:Modeled results for this response are presented as change relative to the simulated hydrological baseline for the period 1950-2000. |
Change in fog inputs percent ?Comment:Modeled results for this response are presented as change relative to the simulated hydrological baseline for the period 1950-2000. |
Change in snowfall ?Comment:Modeled results for this response are presented as change relative to the simulated hydrological baseline for the period 1950-2000. |
Change in snowfall percent ?Comment:Modeled results for this response are presented as change relative to the simulated hydrological baseline for the period 1950-2000. |
Change in snowmelt ?Comment:Modeled results for this response are presented as change relative to the simulated hydrological baseline for the period 1950-2000. |
Change in snowmelt percent ?Comment:Modeled results for this response are presented as change relative to the simulated hydrological baseline for the period 1950-2000. |
Change in water balance ?Comment:Modeled results for this response are presented as change relative to the simulated hydrological baseline for the period 1950-2000. |
Change in water balance percent ?Comment:Modeled results for this response are presented as change relative to the simulated hydrological baseline for the period 1950-2000. |
Change in wind driven rainfall ?Comment:Modeled results for this response are presented as change relative to the simulated hydrological baseline for the period 1950-2000. |
Change in wind driven rainfall percent ?Comment:Modeled results for this response are presented as change relative to the simulated hydrological baseline for the period 1950-2000. |
ET seasonality ?Comment:To assess shifts in seasonality for the Rio Santa basin for all water balance fluxes, the seasonality index of Walsh and Lawler (1981) modified to handle negative values (by offsetting by the minimum so that all negatives become positive) was calculated using WaterWorld for the baseline and for the climate change scenarios for comparison. An index value of greater than 0.4 is considered seasonal, >0.8 marked seasonal with a long dry season and >1.2 extreme seasonal with almost all water available in 1-2 months. |
Melt runoff (Caraz) ?Comment:Melt water contribution, total stream flow and melt water generated stream flow were analysed at the basin level (Santa outflow) and for two of the largest, most populous, high altitude cities in the basin: Caraz, with a population of circa 13,000 and Huaraz with a population of circa 96,000. |
Melt runoff (Huaraz) ?Comment:Melt water contribution, total stream flow and melt water generated stream flow were analysed at the basin level (Santa outflow) and for two of the largest, most populous, high altitude cities in the basin: Caraz, with a population of circa 13,000 and Huaraz with a population of circa 96,000. |
Melt runoff (Santa outflow) ?Comment:Melt water contribution, total stream flow and melt water generated stream flow were analysed at the basin level (Santa outflow) and for two of the largest, most populous, high altitude cities in the basin: Caraz, with a population of circa 13,000 and Huaraz with a population of circa 96,000. |
Melt water seasonality ?Comment:To assess shifts in seasonality for the Rio Santa basin for all water balance fluxes, the seasonality index of Walsh and Lawler (1981) modified to handle negative values (by offsetting by the minimum so that all negatives become positive) was calculated using WaterWorld for the baseline and for the climate change scenarios for comparison. An index value of greater than 0.4 is considered seasonal, >0.8 marked seasonal with a long dry season and >1.2 extreme seasonal with almost all water available in 1-2 months. |
Rainfall seasonality ?Comment:To assess shifts in seasonality for the Rio Santa basin for all water balance fluxes, the seasonality index of Walsh and Lawler (1981) modified to handle negative values (by offsetting by the minimum so that all negatives become positive) was calculated using WaterWorld for the baseline and for the climate change scenarios for comparison. An index value of greater than 0.4 is considered seasonal, >0.8 marked seasonal with a long dry season and >1.2 extreme seasonal with almost all water available in 1-2 months. |
Snow pack seasonality ?Comment:To assess shifts in seasonality for the Rio Santa basin for all water balance fluxes, the seasonality index of Walsh and Lawler (1981) modified to handle negative values (by offsetting by the minimum so that all negatives become positive) was calculated using WaterWorld for the baseline and for the climate change scenarios for comparison. An index value of greater than 0.4 is considered seasonal, >0.8 marked seasonal with a long dry season and >1.2 extreme seasonal with almost all water available in 1-2 months. |
Snowfall seasonality ?Comment:To assess shifts in seasonality for the Rio Santa basin for all water balance fluxes, the seasonality index of Walsh and Lawler (1981) modified to handle negative values (by offsetting by the minimum so that all negatives become positive) was calculated using WaterWorld for the baseline and for the climate change scenarios for comparison. An index value of greater than 0.4 is considered seasonal, >0.8 marked seasonal with a long dry season and >1.2 extreme seasonal with almost all water available in 1-2 months. |
Total runoff (Caraz) ?Comment:Melt water contribution, total stream flow and melt water generated stream flow were analysed at the basin level (Santa outflow) and for two of the largest, most populous, high altitude cities in the basin: Caraz, with a population of circa 13,000 and Huaraz with a population of circa 96,000. |
Total runoff (Huaraz) ?Comment:Melt water contribution, total stream flow and melt water generated stream flow were analysed at the basin level (Santa outflow) and for two of the largest, most populous, high altitude cities in the basin: Caraz, with a population of circa 13,000 and Huaraz with a population of circa 96,000. |
Total runoff (Santa outflow) ?Comment:Melt water contribution, total stream flow and melt water generated stream flow were analysed at the basin level (Santa outflow) and for two of the largest, most populous, high altitude cities in the basin: Caraz, with a population of circa 13,000 and Huaraz with a population of circa 96,000. |
Water balance seasonality ?Comment:To assess shifts in seasonality for the Rio Santa basin for all water balance fluxes, the seasonality index of Walsh and Lawler (1981) modified to handle negative values (by offsetting by the minimum so that all negatives become positive) was calculated using WaterWorld for the baseline and for the climate change scenarios for comparison. An index value of greater than 0.4 is considered seasonal, >0.8 marked seasonal with a long dry season and >1.2 extreme seasonal with almost all water available in 1-2 months. |
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Temporal Extent
variable.detail.tempExtentHelp
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1950-2071 | 1950-2071 | 1950-2071 | 1950-2071 | 1950-2071 | 1950-2071 | 1950-2071 | 1950-2071 | 1950-2071 | 1950-2071 | 1950-2071 | 1950-2071 | 1950-2071 | 1950-2071 | 2071 | 2071 | 2071 | 2071 | 2071 | 2071 | 2071 | 2071 | 2071 | 2071 | 2071 | 2071 |
Temporally Distributed?
variable.detail.tempDistributedHelp
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Yes | Yes | No | No | No | No | No | No | No | No | No | No | No | No | No | No | No | No | No | No | No | No | No | No | No | No |
Regular Temporal Grain?
variable.detail.regularTempGrainHelp
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Yes | Yes | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable |
Temporal Grain Size Value
variable.detail.tempGrainSizeValHelp
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1 | 1 | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable |
Temporal Grain Size Units
variable.detail.tempGrainSizeUnitHelp
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Month | Month | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable |
Temporal Density
variable.detail.tempDensityHelp
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Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable |
Precipitation ?Comment:For the 50 year model projections (-2071), Individual monthly downscaled GCM output (Ramirez and Jarvis, 2010) for temperature and precipitation were combined by WaterWorld into multi-model ensemble per-pixel mean scenarios using 17 available GCM for the A2A (high growth/3.5°C) scenario and 24 GCM for the A1B (moderate growth/2.5°C) scenario. To capture this wide range of possible futures, as well as the multi-model mean for A2A and A1B, the multi-model mean plus (+) and minus (-) the inter-model standard deviation for both temperature and precipitation were also used as scenarios to drive the WaterWorld model resulting in a total of 6 ensemble scenarios (mean, mean-1SD, mean+1SD for two emissions scenarios). The mean-1SD can be considered the cool, dry end of projections whilst the mean+1SD is the warm, wet end of projections. Existing precipitation stations provided measurements used during the validation period (1950-2000). |
Temperature (air) ?Comment:For the 50 year model projections (-2071), Individual monthly downscaled GCM output (Ramirez and Jarvis, 2010) for temperature and precipitation were combined by WaterWorld into multi-model ensemble per-pixel mean scenarios using 17 available GCM for the A2A (high growth/3.5°C) scenario and 24 GCM for the A1B (moderate growth/2.5°C) scenario. WaterWorld takes into account diurnal temperature ranges by iterating through four diurnal time-steps that represent the mean diurnal cycle for each of the 12 monthly time-steps represented by the 50 year climatology. To capture this wide range of possible futures, as well as the multi-model mean for A2A and A1B, the multi-model mean plus (+) and minus (-) the inter-model standard deviation for both temperature and precipitation were also used as scenarios to drive the WaterWorld model resulting in a total of 6 ensemble scenarios (mean, mean-1SD, mean+1SD for two emissions scenarios). The mean-1SD can be considered the cool, dry end of projections whilst the mean+1SD is the warm, wet end of projections. Existing temperature stations provided measurements used during the validation period (1950-2000). |
Change in ET ?Comment:Modeled results for this response are presented as change relative to the simulated hydrological baseline for the period 1950-2000. |
Change in ET percent ?Comment:Modeled results for this response are presented as change relative to the simulated hydrological baseline for the period 1950-2000. |
Change in fog inputs ?Comment:Modeled results for this response are presented as change relative to the simulated hydrological baseline for the period 1950-2000. |
Change in fog inputs percent ?Comment:Modeled results for this response are presented as change relative to the simulated hydrological baseline for the period 1950-2000. |
Change in snowfall ?Comment:Modeled results for this response are presented as change relative to the simulated hydrological baseline for the period 1950-2000. |
Change in snowfall percent ?Comment:Modeled results for this response are presented as change relative to the simulated hydrological baseline for the period 1950-2000. |
Change in snowmelt ?Comment:Modeled results for this response are presented as change relative to the simulated hydrological baseline for the period 1950-2000. |
Change in snowmelt percent ?Comment:Modeled results for this response are presented as change relative to the simulated hydrological baseline for the period 1950-2000. |
Change in water balance ?Comment:Modeled results for this response are presented as change relative to the simulated hydrological baseline for the period 1950-2000. |
Change in water balance percent ?Comment:Modeled results for this response are presented as change relative to the simulated hydrological baseline for the period 1950-2000. |
Change in wind driven rainfall ?Comment:Modeled results for this response are presented as change relative to the simulated hydrological baseline for the period 1950-2000. |
Change in wind driven rainfall percent ?Comment:Modeled results for this response are presented as change relative to the simulated hydrological baseline for the period 1950-2000. |
ET seasonality ?Comment:To assess shifts in seasonality for the Rio Santa basin for all water balance fluxes, the seasonality index of Walsh and Lawler (1981) modified to handle negative values (by offsetting by the minimum so that all negatives become positive) was calculated using WaterWorld for the baseline and for the climate change scenarios for comparison. An index value of greater than 0.4 is considered seasonal, >0.8 marked seasonal with a long dry season and >1.2 extreme seasonal with almost all water available in 1-2 months. |
Melt runoff (Caraz) ?Comment:Melt water contribution, total stream flow and melt water generated stream flow were analysed at the basin level (Santa outflow) and for two of the largest, most populous, high altitude cities in the basin: Caraz, with a population of circa 13,000 and Huaraz with a population of circa 96,000. |
Melt runoff (Huaraz) ?Comment:Melt water contribution, total stream flow and melt water generated stream flow were analysed at the basin level (Santa outflow) and for two of the largest, most populous, high altitude cities in the basin: Caraz, with a population of circa 13,000 and Huaraz with a population of circa 96,000. |
Melt runoff (Santa outflow) ?Comment:Melt water contribution, total stream flow and melt water generated stream flow were analysed at the basin level (Santa outflow) and for two of the largest, most populous, high altitude cities in the basin: Caraz, with a population of circa 13,000 and Huaraz with a population of circa 96,000. |
Melt water seasonality ?Comment:To assess shifts in seasonality for the Rio Santa basin for all water balance fluxes, the seasonality index of Walsh and Lawler (1981) modified to handle negative values (by offsetting by the minimum so that all negatives become positive) was calculated using WaterWorld for the baseline and for the climate change scenarios for comparison. An index value of greater than 0.4 is considered seasonal, >0.8 marked seasonal with a long dry season and >1.2 extreme seasonal with almost all water available in 1-2 months. |
Rainfall seasonality ?Comment:To assess shifts in seasonality for the Rio Santa basin for all water balance fluxes, the seasonality index of Walsh and Lawler (1981) modified to handle negative values (by offsetting by the minimum so that all negatives become positive) was calculated using WaterWorld for the baseline and for the climate change scenarios for comparison. An index value of greater than 0.4 is considered seasonal, >0.8 marked seasonal with a long dry season and >1.2 extreme seasonal with almost all water available in 1-2 months. |
Snow pack seasonality ?Comment:To assess shifts in seasonality for the Rio Santa basin for all water balance fluxes, the seasonality index of Walsh and Lawler (1981) modified to handle negative values (by offsetting by the minimum so that all negatives become positive) was calculated using WaterWorld for the baseline and for the climate change scenarios for comparison. An index value of greater than 0.4 is considered seasonal, >0.8 marked seasonal with a long dry season and >1.2 extreme seasonal with almost all water available in 1-2 months. |
Snowfall seasonality ?Comment:To assess shifts in seasonality for the Rio Santa basin for all water balance fluxes, the seasonality index of Walsh and Lawler (1981) modified to handle negative values (by offsetting by the minimum so that all negatives become positive) was calculated using WaterWorld for the baseline and for the climate change scenarios for comparison. An index value of greater than 0.4 is considered seasonal, >0.8 marked seasonal with a long dry season and >1.2 extreme seasonal with almost all water available in 1-2 months. |
Total runoff (Caraz) ?Comment:Melt water contribution, total stream flow and melt water generated stream flow were analysed at the basin level (Santa outflow) and for two of the largest, most populous, high altitude cities in the basin: Caraz, with a population of circa 13,000 and Huaraz with a population of circa 96,000. |
Total runoff (Huaraz) ?Comment:Melt water contribution, total stream flow and melt water generated stream flow were analysed at the basin level (Santa outflow) and for two of the largest, most populous, high altitude cities in the basin: Caraz, with a population of circa 13,000 and Huaraz with a population of circa 96,000. |
Total runoff (Santa outflow) ?Comment:Melt water contribution, total stream flow and melt water generated stream flow were analysed at the basin level (Santa outflow) and for two of the largest, most populous, high altitude cities in the basin: Caraz, with a population of circa 13,000 and Huaraz with a population of circa 96,000. |
Water balance seasonality ?Comment:To assess shifts in seasonality for the Rio Santa basin for all water balance fluxes, the seasonality index of Walsh and Lawler (1981) modified to handle negative values (by offsetting by the minimum so that all negatives become positive) was calculated using WaterWorld for the baseline and for the climate change scenarios for comparison. An index value of greater than 0.4 is considered seasonal, >0.8 marked seasonal with a long dry season and >1.2 extreme seasonal with almost all water available in 1-2 months. |
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°C | °C | Not reported | Not reported | Not reported | Not reported | Not reported | Not reported | Not reported | Not reported | Not reported | Not reported | Not reported | Not reported | Not reported | Not reported | Not reported | Not reported | Not reported | Not reported | Not reported | Not reported | Not reported | Not reported | Not reported | Not reported | |
Min Value
variable.detail.minEstHelp
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Values vary by run; view runs to see values | Value varies by run; view runs to see values | Not reported | Not reported | Not reported | Not reported | Not reported | Not reported | Not reported | Not reported | Not reported | Not reported | Not reported | Not reported | Not reported | Not reported | Not reported | Not reported | Not reported | Not reported | Not reported | Not reported | Not reported | Not reported | Not reported | Not reported |
Max Value
variable.detail.estHelp
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Values vary by run; view runs to see values | Value varies by run; view runs to see values | Not reported | Not reported | Not reported | Not reported | Not reported | Not reported | Not reported | Not reported | Not reported | Not reported | Not reported | Not reported | Not reported | Not reported | Not reported | Not reported | Not reported | Not reported | Not reported | Not reported | Not reported | Not reported | Not reported | Not reported |
Other Value Type
variable.detail.natureOtherEstHelp
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Not applicable | Not applicable | Single Observation or Parameter Value | Single Observation or Parameter Value | Single Observation or Parameter Value | Single Observation or Parameter Value | Single Observation or Parameter Value | Single Observation or Parameter Value | Single Observation or Parameter Value | Single Observation or Parameter Value | Single Observation or Parameter Value | Single Observation or Parameter Value | Single Observation or Parameter Value | Single Observation or Parameter Value | Single Observation or Parameter Value | Single Observation or Parameter Value | Single Observation or Parameter Value | Single Observation or Parameter Value | Single Observation or Parameter Value | Single Observation or Parameter Value | Single Observation or Parameter Value | Single Observation or Parameter Value | Single Observation or Parameter Value | Single Observation or Parameter Value | Single Observation or Parameter Value | Single Observation or Parameter Value |
Other Value
variable.detail.otherEstHelp
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Not reported | Not reported | Values vary by run; view runs to see values | Values vary by run; view runs to see values | Values vary by run; view runs to see values | Values vary by run; view runs to see values | Values vary by run; view runs to see values | Values vary by run; view runs to see values | Values vary by run; view runs to see values | Values vary by run; view runs to see values | Values vary by run; view runs to see values | Values vary by run; view runs to see values | Values vary by run; view runs to see values | Values vary by run; view runs to see values | Values vary by run; view runs to see values | Values vary by run; view runs to see values | Values vary by run; view runs to see values | Values vary by run; view runs to see values | Values vary by run; view runs to see values | Values vary by run; view runs to see values | Values vary by run; view runs to see values | Values vary by run; view runs to see values | Values vary by run; view runs to see values | Values vary by run; view runs to see values | Values vary by run; view runs to see values | Values vary by run; view runs to see values |
Precipitation ?Comment:For the 50 year model projections (-2071), Individual monthly downscaled GCM output (Ramirez and Jarvis, 2010) for temperature and precipitation were combined by WaterWorld into multi-model ensemble per-pixel mean scenarios using 17 available GCM for the A2A (high growth/3.5°C) scenario and 24 GCM for the A1B (moderate growth/2.5°C) scenario. To capture this wide range of possible futures, as well as the multi-model mean for A2A and A1B, the multi-model mean plus (+) and minus (-) the inter-model standard deviation for both temperature and precipitation were also used as scenarios to drive the WaterWorld model resulting in a total of 6 ensemble scenarios (mean, mean-1SD, mean+1SD for two emissions scenarios). The mean-1SD can be considered the cool, dry end of projections whilst the mean+1SD is the warm, wet end of projections. Existing precipitation stations provided measurements used during the validation period (1950-2000). |
Temperature (air) ?Comment:For the 50 year model projections (-2071), Individual monthly downscaled GCM output (Ramirez and Jarvis, 2010) for temperature and precipitation were combined by WaterWorld into multi-model ensemble per-pixel mean scenarios using 17 available GCM for the A2A (high growth/3.5°C) scenario and 24 GCM for the A1B (moderate growth/2.5°C) scenario. WaterWorld takes into account diurnal temperature ranges by iterating through four diurnal time-steps that represent the mean diurnal cycle for each of the 12 monthly time-steps represented by the 50 year climatology. To capture this wide range of possible futures, as well as the multi-model mean for A2A and A1B, the multi-model mean plus (+) and minus (-) the inter-model standard deviation for both temperature and precipitation were also used as scenarios to drive the WaterWorld model resulting in a total of 6 ensemble scenarios (mean, mean-1SD, mean+1SD for two emissions scenarios). The mean-1SD can be considered the cool, dry end of projections whilst the mean+1SD is the warm, wet end of projections. Existing temperature stations provided measurements used during the validation period (1950-2000). |
Change in ET ?Comment:Modeled results for this response are presented as change relative to the simulated hydrological baseline for the period 1950-2000. |
Change in ET percent ?Comment:Modeled results for this response are presented as change relative to the simulated hydrological baseline for the period 1950-2000. |
Change in fog inputs ?Comment:Modeled results for this response are presented as change relative to the simulated hydrological baseline for the period 1950-2000. |
Change in fog inputs percent ?Comment:Modeled results for this response are presented as change relative to the simulated hydrological baseline for the period 1950-2000. |
Change in snowfall ?Comment:Modeled results for this response are presented as change relative to the simulated hydrological baseline for the period 1950-2000. |
Change in snowfall percent ?Comment:Modeled results for this response are presented as change relative to the simulated hydrological baseline for the period 1950-2000. |
Change in snowmelt ?Comment:Modeled results for this response are presented as change relative to the simulated hydrological baseline for the period 1950-2000. |
Change in snowmelt percent ?Comment:Modeled results for this response are presented as change relative to the simulated hydrological baseline for the period 1950-2000. |
Change in water balance ?Comment:Modeled results for this response are presented as change relative to the simulated hydrological baseline for the period 1950-2000. |
Change in water balance percent ?Comment:Modeled results for this response are presented as change relative to the simulated hydrological baseline for the period 1950-2000. |
Change in wind driven rainfall ?Comment:Modeled results for this response are presented as change relative to the simulated hydrological baseline for the period 1950-2000. |
Change in wind driven rainfall percent ?Comment:Modeled results for this response are presented as change relative to the simulated hydrological baseline for the period 1950-2000. |
ET seasonality ?Comment:To assess shifts in seasonality for the Rio Santa basin for all water balance fluxes, the seasonality index of Walsh and Lawler (1981) modified to handle negative values (by offsetting by the minimum so that all negatives become positive) was calculated using WaterWorld for the baseline and for the climate change scenarios for comparison. An index value of greater than 0.4 is considered seasonal, >0.8 marked seasonal with a long dry season and >1.2 extreme seasonal with almost all water available in 1-2 months. |
Melt runoff (Caraz) ?Comment:Melt water contribution, total stream flow and melt water generated stream flow were analysed at the basin level (Santa outflow) and for two of the largest, most populous, high altitude cities in the basin: Caraz, with a population of circa 13,000 and Huaraz with a population of circa 96,000. |
Melt runoff (Huaraz) ?Comment:Melt water contribution, total stream flow and melt water generated stream flow were analysed at the basin level (Santa outflow) and for two of the largest, most populous, high altitude cities in the basin: Caraz, with a population of circa 13,000 and Huaraz with a population of circa 96,000. |
Melt runoff (Santa outflow) ?Comment:Melt water contribution, total stream flow and melt water generated stream flow were analysed at the basin level (Santa outflow) and for two of the largest, most populous, high altitude cities in the basin: Caraz, with a population of circa 13,000 and Huaraz with a population of circa 96,000. |
Melt water seasonality ?Comment:To assess shifts in seasonality for the Rio Santa basin for all water balance fluxes, the seasonality index of Walsh and Lawler (1981) modified to handle negative values (by offsetting by the minimum so that all negatives become positive) was calculated using WaterWorld for the baseline and for the climate change scenarios for comparison. An index value of greater than 0.4 is considered seasonal, >0.8 marked seasonal with a long dry season and >1.2 extreme seasonal with almost all water available in 1-2 months. |
Rainfall seasonality ?Comment:To assess shifts in seasonality for the Rio Santa basin for all water balance fluxes, the seasonality index of Walsh and Lawler (1981) modified to handle negative values (by offsetting by the minimum so that all negatives become positive) was calculated using WaterWorld for the baseline and for the climate change scenarios for comparison. An index value of greater than 0.4 is considered seasonal, >0.8 marked seasonal with a long dry season and >1.2 extreme seasonal with almost all water available in 1-2 months. |
Snow pack seasonality ?Comment:To assess shifts in seasonality for the Rio Santa basin for all water balance fluxes, the seasonality index of Walsh and Lawler (1981) modified to handle negative values (by offsetting by the minimum so that all negatives become positive) was calculated using WaterWorld for the baseline and for the climate change scenarios for comparison. An index value of greater than 0.4 is considered seasonal, >0.8 marked seasonal with a long dry season and >1.2 extreme seasonal with almost all water available in 1-2 months. |
Snowfall seasonality ?Comment:To assess shifts in seasonality for the Rio Santa basin for all water balance fluxes, the seasonality index of Walsh and Lawler (1981) modified to handle negative values (by offsetting by the minimum so that all negatives become positive) was calculated using WaterWorld for the baseline and for the climate change scenarios for comparison. An index value of greater than 0.4 is considered seasonal, >0.8 marked seasonal with a long dry season and >1.2 extreme seasonal with almost all water available in 1-2 months. |
Total runoff (Caraz) ?Comment:Melt water contribution, total stream flow and melt water generated stream flow were analysed at the basin level (Santa outflow) and for two of the largest, most populous, high altitude cities in the basin: Caraz, with a population of circa 13,000 and Huaraz with a population of circa 96,000. |
Total runoff (Huaraz) ?Comment:Melt water contribution, total stream flow and melt water generated stream flow were analysed at the basin level (Santa outflow) and for two of the largest, most populous, high altitude cities in the basin: Caraz, with a population of circa 13,000 and Huaraz with a population of circa 96,000. |
Total runoff (Santa outflow) ?Comment:Melt water contribution, total stream flow and melt water generated stream flow were analysed at the basin level (Santa outflow) and for two of the largest, most populous, high altitude cities in the basin: Caraz, with a population of circa 13,000 and Huaraz with a population of circa 96,000. |
Water balance seasonality ?Comment:To assess shifts in seasonality for the Rio Santa basin for all water balance fluxes, the seasonality index of Walsh and Lawler (1981) modified to handle negative values (by offsetting by the minimum so that all negatives become positive) was calculated using WaterWorld for the baseline and for the climate change scenarios for comparison. An index value of greater than 0.4 is considered seasonal, >0.8 marked seasonal with a long dry season and >1.2 extreme seasonal with almost all water available in 1-2 months. |
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Variability Expression Given?
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Variability Metric
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Variability Value
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Resampling Used?
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Variability Expression Used in Modeling?
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Change in ET | Change in ET percent | Change in fog inputs | Change in fog inputs percent | Change in snowfall | Change in snowfall percent | Change in snowmelt | Change in snowmelt percent | Change in water balance | Change in water balance percent | Change in wind driven rainfall | Change in wind driven rainfall percent | ET seasonality | Melt runoff (Caraz) | Melt runoff (Huaraz) | Melt runoff (Santa outflow) | Melt water seasonality | Rainfall seasonality | Snow pack seasonality | Snowfall seasonality | Total runoff (Caraz) | Total runoff (Huaraz) | Total runoff (Santa outflow) | Water balance seasonality | |||||||||||||||||||||||||
Variable ID
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14660 | 14661 | 14662 | 14663 | 14666 | 14667 | 14664 | 14665 | 14656 | 14657 | 14658 | 14659 | 14670 | 14683 | 14678 | 14685 | 14672 | 14669 | 14673 | 14671 | 14681 | 14674 | 14684 | 14668 | ||||||||||||||||||||||||
Validated?
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Validation Approach (within, between, etc.)
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Validation Quality (Qual/Quant)
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Validation Method (Stat/Deviance)
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Validation Metric
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Validation Value
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Use of Measured Response Data
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