HR: 08:30h
AN: A51E-03    [Abstracts]
TI: Does A Well-Calibrated Land-Surface Model Improve Numerical Weather Prediction ?
AU: * Matsui, T
EM: matsui@agnes.gsfc.nasa.gov
AF: Goddard Earth Sciences and Technology Center, University of Maryland Baltimore County, Baltimore, MD 20771, United States
AU: * Matsui, T
EM: matsui@agnes.gsfc.nasa.gov
AF: NASA Goddard Space Flight Center, NASA Goddard Space Flight Center, Greenbelt, MD, Greenbelt, MD 20771, United States
AU: Tao, W
EM: tao@agnes.gsfc.nasa.gov
AF: NASA Goddard Space Flight Center, NASA Goddard Space Flight Center, Greenbelt, MD, Greenbelt, MD 20771, United States
AU: Shi, J
EM: shi@agnes.gsfc.nasa.gov
AF: NASA Goddard Space Flight Center, NASA Goddard Space Flight Center, Greenbelt, MD, Greenbelt, MD 20771, United States
AU: Shi, J
EM: shi@agnes.gsfc.nasa.gov
AF: Science Applications Internattional Corporation, Science Applications Internattional Corporation, Beltsville, MD, Beltsville, MD 20771, United States
AU: Kumar, S
EM: sujay@hsb.gsfc.nasa.gov
AF: Goddard Earth Sciences and Technology Center, University of Maryland Baltimore County, Baltimore, MD 20771, United States
AU: Kumar, S
EM: sujay@hsb.gsfc.nasa.gov
AF: NASA Goddard Space Flight Center, NASA Goddard Space Flight Center, Greenbelt, MD, Greenbelt, MD 20771, United States
AU: Peters-Lidard, C
EM: christa.peters@nasa.gov
AF: NASA Goddard Space Flight Center, NASA Goddard Space Flight Center, Greenbelt, MD, Greenbelt, MD 20771, United States
AB: Accurate representation of heterogeneous land-surface energy and water fluxes is critical for the spatio-temporal evolution of planetary boundary layer and the predictability of summer-time deep cumulus convection in a numerical weather prediction (NWP) model. Although emergence of new satellite platform and in-situ data network has been improved the boundary conditions of land-surface models (LSMs), the performances of LSMs are uncertain on the regional scale. This is because LSMs have been generally tested and calibrated in limited time and spatial scales. Therefore, further improvements of LSMs require a regional-scale model calibration framework. We have established the regional-scale calibration framework over eastern U.S. for Unified Land Model (ULM) within the Goddard Land Information System (LIS). ULM is tuning-oriented structure that features common soil-vegetation-atmosphere-transfer parameterizations in different LSMs. This calibration framework iteratively reduces model-observation discrepancies in surface albedo, radiative temperature, and turbulent heat fluxes via Gauss-Marquardt Levenberg algorithm. The calibrated ULM significantly improves the representation of energy and mass fluxes over the eastern U.S. The well-calibrated ULM is tested for regional NWP by the Weather Research and Forecasting (WRF) coupled with Goddard LIS (WRF-LIS) platform. WRF-LIS model uses a grid spacing of 5km in a single nested domain forced by North American Regional Reanalysis on the lateral boundaries. This fine grid spacing together with the Goddard microphysics package can resolve convective precipitation without a subgrid convection parameterization. We will simulate several summer-time weather episodes over the eastern U.S. using the non-calibrated and well-calibrated ULM within the WRF-LIS platform, and will examine how the calibrated ULM improves the predictability of summer-time deep cumulus convection in comparison with the observations.
DE: 3310 Clouds and cloud feedbacks
DE: 3314 Convective processes
DE: 3322 Land/atmosphere interactions (1218, 1631, 1843)
DE: 3333 Model calibration (1846)
DE: 3355 Regional modeling
SC: Atmospheric Sciences [A]
MN: 2007 Joint Assembly