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Application of suomi-npp green vegetation fraction and nucaps for improving regional numerical weather prediction (Document No: 20140017680)
| Content Provider | NASA Technical Reports Server (NTRS) |
|---|---|
| Author | Case, Jonathan L. Srikishen, Jayanthi Berndt, Emily B. Zavodsky, Bradley T. |
| Copyright Year | 2014 |
| Description | The NASA SPoRT Center is working to incorporate SuomiâNPP products into its research and transition activities to improve regional numerical weather prediction (NWP). Specifically, SPoRT seeks to utilize two data products from NOAA/NESDIS: (1) daily global VIIRS green vegetation fraction (GVF), and (2) NOAA Unique CrIS and ATMS Processing System (NUCAPS) temperature and moisture retrieved profiles. The goal of (1) is to improve the representation of vegetation in the Noah land surface model (LSM) over existing climatological GVF datasets in order to improve the landâatmosphere energy exchanges in NWP models and produce better temperature, moisture, and precipitation forecasts. The goal of (2) is to assimilate NUCAPS retrieved profiles into the Gridpoint Statistical Interpolation (GSI) data assimilation system to assess the impact on a summer preâfrontal convection case. Most regional NWP applications make use of a monthly GVF climatology for use in the Noah LSM within the Weather Research and Forecasting (WRF) model. The GVF partitions incoming energy into direct surface heating/evaporation over bare soil versus evapotranspiration processes over vegetated surfaces. Misrepresentations of the fractional coverage of vegetation during anomalous weather/climate regimes (e.g., early/late bloom or freeze; drought) can lead to poor NWP model results when landâatmosphere feedback is important. SPoRT has been producing a daily MODIS GVF product based on the University of Wisconsin Direct Broadcast swaths of Normalized Difference Vegetation Index (NDVI). While positive impacts have been demonstrated in the WRF model for some cases, the reflectances composing these NDVI do not correct for atmospheric aerosols nor satellite view angle, resulting in temporal noisiness at certain locations (especially heavy vegetation). The method behind the NESDIS VIIRS GVF is expected to alleviate the issues seen in the MODIS GVF realâtime product, thereby offering a higherâquality dataset for modeling applications. SPoRT is evaluating the VIIRS GVF data against the MODIS realâtime and climatology GVF in both WRF and the NASA Land Information System. SPoRT has a history of assimilating hyperspectral infrared retrieved profiles |
| File Size | 118044 |
| Page Count | 1 |
| File Format | |
| Alternate Webpage(s) | http://archive.org/details/NASA_NTRS_Archive_20140017680 |
| Archival Resource Key | ark:/13960/t3033v95k |
| Language | English |
| Publisher Date | 2014-11-18 |
| Access Restriction | Open |
| Subject Keyword | Numerical Weather Prediction Climatology Normalized Difference Vegetation Index Atmospheric Temperature Evapotranspiration Vegetation Data Systems Modis Radiometry Precipitation Meteorology Numerical Weather Forecasting Convection Information Systems Ntrs Nasa Technical Reports Server (ntrs) Nasa Technical Reports Server Aerodynamics Aircraft Aerospace Engineering Aerospace Aeronautic Space Science |
| Content Type | Text |
| Resource Type | Article |
