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EM: NU-WRF Rainfall prediction in Iowa,USA (EM-1038)
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Expand AllEM Identity and Description
EM Identification
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EM ID
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EM-1038 |
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EM Short Name
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NU-WRF rainfall prediction in Iowa, USA |
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EM Full Name
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NU-WRF Rainfall prediction in Iowa,USA |
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EM Source or Collection
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None |
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EM Source Document ID
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493 |
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Document Author
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Wu, D., Peters-Lidard, C., Tao, W., and W. Petersen |
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Document Year
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2016 |
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Document Title
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Evaluation of the NU-WRF rainfall forcasts for IFloodS |
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Document Status
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Peer reviewed and published |
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Comments on Status
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Published journal manuscript |
Software and Access
| Not applicable | |
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Contact Name
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Di Wu |
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Contact Address
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Code 612, NASA Goddard Space Flight Center, 8800 Greenbelt Rd., Greenbelt, MD 20771 and Science Systems and Applications, Inc., Lanham, Maryland |
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Contact Email
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di.wu@nasa.gov |
EM Description
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Summary Description
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ABSTRACT: "The Iowa Flood Studies (IFloodS) campaign was conducted in eastern Iowa as a pre-GPM-launch campaign from 1 May to 15 June 2013. During the campaign period, real-time forecasts were conducted utilizing the NASA-UnifiedWeather Research and Forecasting (NU-WRF) Model to support the daily weather briefing. In this study, two sets of the NU-WRF rainfall forecasts are conducted with different soil initializations, one from the spatially interpolated North American Mesoscale Forecast System (NAM) and the other produced by the Land Information System (LIS) using daily analysis of bias-corrected stage IV data. Both forecasts are then compared with NAM, stage IV, and Multi-Radar Multi-Sensor (MRMS) quantitative precipitation estimation (QPE) to understand the impact of land surface initialization on the predicted precipitation. In general, both NU-WRF runs are able to reproduce individual peaks of precipitation at the right time. NU-WRF is also able to replicate a better rainfall spatial distribution compared with NAM. Further sensitivity tests show that the highresolution runs (1 and 3 km) are able to better capture the precipitation event compared to its coarser-resolution counterpart (9 km). Finally, the two sets of NU-WRF simulations produce very close rainfall characteristics in bias, spatial and temporal correlation scores, and probability density function. The land surface initialization does not show a significant impact on short-term rainfall forecast, which is largely because of high soil moisture during the field campaign period. " |
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Specific Policy or Decision Context Cited
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None |
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Biophysical Context
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Northern Iowa, Illinois |
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EM Scenario Drivers
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NA |
EM Relationship to Other EMs or Applications
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Method Only, Application of Method or Model Run
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Method + Application |
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New or Pre-existing EM?
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Application of existing model |
Related EMs (for example, other versions or derivations of this EM) described in ESML
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Document ID for related EM
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Doc-438 |
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EM ID for related EM
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None |
EM Modeling Approach
EM Relationship to Time
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EM Temporal Extent
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May 1 to June 15 2013 |
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EM Time Dependence
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time-dependent |
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EM Time Reference (Future/Past)
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past time |
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EM Time Continuity
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discrete |
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EM Temporal Grain Size Value
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3 |
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EM Temporal Grain Size Unit
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Hour |
EM Spatial Extent
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Bounding Type
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Physiographic or ecological |
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Spatial Extent Name
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Eastern Iowa |
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Spatial Extent Area (Magnitude)
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1000-10,000 km^2. |
Spatial Distribution of Computations
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EM Spatial Distribution
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spatially distributed (in at least some cases) |
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Spatial Grain Type
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area, for pixel or radial feature |
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Spatial Grain Size
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varied |
EM Structure and Computation Approach
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EM Computational Approach
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Analytic |
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EM Determinism
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deterministic |
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Statistical Estimation of EM
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Model Checking Procedures Used
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Model Calibration Reported?
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Unclear |
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Model Goodness of Fit Reported?
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No |
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Goodness of Fit (metric| value | unit)
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None |
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Model Operational Validation Reported?
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Yes |
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Model Uncertainty Analysis Reported?
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Unclear |
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Model Sensitivity Analysis Reported?
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Unclear |
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Model Sensitivity Analysis Include Interactions?
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Not applicable |
EM Locations, Environments, Ecology
Location of EM Application
Terrestrial location (Classification hierarchy: Continent > Country > U.S. State [United States only])
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Marine location (Classification hierarchy: Realm > Region > Province > Ecoregion)
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| None |
Centroid Lat/Long (Decimal Degree)
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Centroid Latitude
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42.06 |
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Centroid Longitude
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-91.54 |
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Centroid Datum
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WGS84 |
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Centroid Coordinates Status
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Estimated |
Environments and Scales Modeled
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EM Environmental Sub-Class
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Terrestrial Environment (sub-classes not fully specified) |
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Specific Environment Type
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Agricultural fields and region of NE Iowa |
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EM Ecological Scale
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Ecological scale is finer than that of the Environmental Sub-class |
Scale and taxa of organisms modeled
Scale of differentiation of organisms modeled
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EM Organismal Scale
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Not applicable |
Taxonomic level and name of organisms or groups identified
taxonomyHelp
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| None Available |
EnviroAtlas URL
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| Average Annual Daily Potential Solar Energy, Average Annual Precipitation |
EM Ecosystem Goods and Services (EGS) potentially modeled, by classification system
CICES v 4.3 - Common International Classification of Ecosystem Services (Section > Division > Group > Class)
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| None |
(Environmental Subclass > Ecological End-Product (EEP) > EEP Subclass > EEP Modifier)
fegs2Help
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| None |
EM Variable Names (and Units)
Predictor
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Intermediate
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Intermediate (Computed) Variables (and Units)
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None |
Response
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Observed Response Variables (and Units)
view details (2 variables)
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Computed Response Variables (and Units)
view details (3 variables)
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