A Successful Example of Transitioning Research to NCEP Operations: The North American Land Data Assimilation System (NLDAS)

Michael B Ek1, Youlong Xia2,3, Helin Wei4,5, Jesse Meng5,6, Jiarui Dong3,5, Kenneth Mitchell5,7, Eric F Wood8, Justin Sheffield9, Christa D Peters-Lidard10, David M Mocko11, Brian A Cosgrove12, Dennis P Lettenmaier13, Kingtse C Mo14, Wesley Ebisuzaki14, Matthew Rosencrans15, Lifeng Luo16 and Eric Luebehusen17, (1)Environmental Modeling Center, NOAA/NWS/NCEP, College Park, MD, United States, (2)NUIST Nanjing University of Information Science and Technology, Nanjing, China, (3)IMSG, College Park, MD, United States, (4)IMSG at NOAA/NCEP/EMC, College Park, MD, United States, (5)Environmental Modeling Center, College Park, MD, United States, (6)IMSG, NCEP/EMC, College Park, MD, United States, (7)NOAA/NWS/NCEP/EMC (retired), College Park, MD, United States, (8)Princeton University, Civil and Environmental Engineering, Princeton, NJ, United States, (9)Princeton University, Princeton, NJ, United States, (10)NASA Goddard Space Flight Center, Sciences and Exploration Directorate, Greenbelt, United States, (11)NASA/GSFC Hydrological Sciences Laboratory, Greenbelt, United States, (12)NOAA/NWS/OHD, Silver Spring, United States, (13)University of California Los Angeles, Los Angeles, CA, United States, (14)Climate Prediction Center/NCEP, College Park, MD, United States, (15)NOAA, Climate Prediction Center, College Park, United States, (16)Michigan State University, Department of Geography, Environment, and Spatial Sciences, East Lansing, MI, United States, (17)USDA, OCE, Washington, DC, United States
Abstract:
The North American Land Data Assimilation System (NLDAS) is a long-term, multi-institutional project initiated to provide improved land surface initial conditions for weather and climate models, and subsequently expanded to support multiple applications related to land surface hydrology. Begun as a research project in January 2000, it became quasi-operational in September 2008, and operational at NCEP in August 2014. The NLDAS development included Phase 1 to establish the NLDAS configuration, including collection of soil and vegetation data, selection of land-surface models (LSMs), generation of surface forcing data sets, and model runs for a 3-year period, with evaluation/validation of model output. Phase 2 involved 30-year (1979-2008) retrospective and near real-time runs (2009-present) of four improved LSMs and surface forcing to generate energy and water fluxes, and state variables from those LSMs. The anomalies and percentiles from the 30-year climatologies for evapotranspiration, soil moisture, runoff/streamflow, and snow water equivalent have been comprehensively evaluated against observations, and are used to support US operational drought monitoring and prediction tasks such as the U.S. Drought Monitor, NCEP Climate Prediction Center drought information, and activities of the National Integrated Drought Information System. More than 34 years of surface forcing and model output data have been distributed by the NCEP/EMC NLDAS website (www.emc.ncep.noaa.gov/mmb/nldas), the NASA Goddard Earth Sciences Data Information Services Center (GES DISC, daac.gsfc.nasa.gov), the UCAR/NCAR Climate Data Guide (climatedataguide.ucar.edu/climate-data), and the USGS Geo Portal (cida.usgs.gov/gdp). The operational implementation provides more reliable and timely access to NLDAS products. This presentation summarizes experiences of NLDAS, status and format of current NLDAS products, and the future plans for NLDAS.
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