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Towards Global Simulation of Irrigation in a Land Surface Model: Multiple Cropping and Rice Paddy in Southeast AsiaAgricultural land use significantly influences the surface water and energy balances. Effects of irrigation on land surface states and fluxes include repartitioning of latent and sensible heat fluxes, an increase in net radiation, and an increase in soil moisture and runoff. We are working on representing irrigation practices in continental- to global-scale land surface simulation in NASA's Global Land Data Assimilation System (GLDAS). Because agricultural practices across the nations are diverse, and complex, we are attempting to capture the first-order reality of the regional practices before achieving a global implementation. This study focuses on two issues in Southeast Asia: multiple cropping and rice paddy irrigation systems. We first characterize agricultural practices in the region (i.e., crop types, growing seasons, and irrigation) using the Global data set of monthly irrigated and rainfed crop areas around the year 2000 (MIRCA2000) dataset. Rice paddy extent is identified using remote sensing products. Whether irrigated or rainfed, flooded fields need to be represented and treated explicitly. By incorporating these properties and processes into a physically based land surface model, we are able to quantify the impacts on the simulated states and fluxes.
Document ID
20100026049
Document Type
Other
Authors
Beaudoing, Hiroko Kato (NASA Goddard Space Flight Center Greenbelt, MD, United States)
Rodell, Matthew (NASA Goddard Space Flight Center Greenbelt, MD, United States)
Ozdogan, Mutlu (NASA Goddard Space Flight Center Greenbelt, MD, United States)
Date Acquired
August 24, 2013
Publication Date
June 22, 2010
Subject Category
Earth Resources and Remote Sensing
Meeting Information
Western Pacific Geophysics meeting(Taipei)
Funding Number(s)
CONTRACT_GRANT: NNX07AI84A
Distribution Limits
Public
Copyright
Other