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Journal ArticleDOI

Real‐time and retrospective forcing in the North American Land Data Assimilation System (NLDAS) project

TLDR
The real-time forcing data set is constantly evolving to make use of the latest advances in forcing-related data sets, and all of the realtime and retrospective data sets are available online at http://ldas.gsfc.nasa.gov for visualization and downloading in both full and subset forms as discussed by the authors.
Abstract
[1] The accuracy of forcing data greatly impacts the ability of land surface models (LSMs) to produce realistic simulations of land surface processes. With this in mind, the multi-institutional North American Land Data Assimilation System (NLDAS) project has produced retrospective (1996–2002) and real-time (1999–present) data sets to support its LSM modeling activities. Featuring 0.125° spatial resolution, hourly temporal resolution, nine primary forcing fields, and six secondary validation/model development fields, each data set is based on a backbone of Eta Data Assimilation System/Eta data and is supplemented with observation-based precipitation and radiation data. Hourly observation-based precipitation data are derived from a combination of daily National Center for Environmental Prediction Climate Prediction Center (CPC) gauge-based precipitation analyses and hourly National Weather Service Doppler radar-based (WSR-88D) precipitation analyses, wherein the hourly radar-based analyses are used to temporally disaggregate the daily CPC analyses. NLDAS observation-based shortwave values are derived from Geostationary Operational Environmental Satellite radiation data processed at the University of Maryland and at the National Environmental Satellite Data and Information Service. Extensive quality control and validation efforts have been conducted on the NLDAS forcing data sets, and favorable comparisons have taken place with Oklahoma Mesonet, Atmospheric Radiation Measurement Program/cloud and radiation test bed, and Surface Radiation observation data. The real-time forcing data set is constantly evolving to make use of the latest advances in forcing-related data sets, and all of the real-time and retrospective data are available online at http://ldas.gsfc.nasa.gov for visualization and downloading in both full and subset forms.

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Journal ArticleDOI

The Global Land Data Assimilation System

TL;DR: The Global Land Data Assimilation System (GLDAS) as mentioned in this paper is an uncoupled land surface modeling system that drives multiple models, integrates a huge quantity of observation-based data, runs globally at high resolution (0.25°), and produces results in near-real time (typically within 48 h of the present).
Journal ArticleDOI

Development of a 50-Year High-Resolution Global Dataset of Meteorological Forcings for Land Surface Modeling

TL;DR: In this article, the authors describe the creation of a global, 50-yr, 3-hourly, 1.0° dataset of meteorological forcings that can be used to drive models of land surface hydrology.
Journal ArticleDOI

Development of gridded surface meteorological data for ecological applications and modelling

TL;DR: In this article, a spatially and temporally complete, high-resolution (4-km) gridded dataset of surface meteorological variables required in ecological modelling for the contiguous United States from 1979 to 2010 is presented.
References
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Journal ArticleDOI

A Statistical-Topographic Model for Mapping Climatological Precipitation over Mountainous Terrain

TL;DR: In this article, the authors present an analytical model that distributes point measurements of monthly and annual precipitation to regularly spaced grid cells in midlatitude regions, using a combination of climatological and statistical concepts to analyze orographic precipitation.
Journal ArticleDOI

The WSR-88D Rainfall Algorithm

TL;DR: In this paper, a detailed description of the operational WSR-88D rainfall estimation algorithm is presented, and the processing steps to quality control and compute the rainfall estimates are described, and current deficiencies and future plans for improvement are discussed.
Journal ArticleDOI

Surface soil moisture parameterization of the VIC-2L model: Evaluation and modification

TL;DR: In this article, a modified version of VIC-2L, which has a new feature that allows diffusion of moisture between soil layers, and a 0.1 m thin layer on top of the previous upper layer, is described.
Journal ArticleDOI

Assessment of the Land Surface and Boundary Layer Models in Two Operational Versions of the NCEP Eta Model Using FIFE Data

TL;DR: In this article, data from the 1987 summer FIFE experiment for four pairs of days are compared with corresponding 48-h forecasts from two different versions of the Eta Model, both initialized from the NCEP-NCAR (National Centers for Environmental Prediction-National Center for Atmospheric Research) global reanalysis.
Journal ArticleDOI

Changes to the Operational ''Early'' Eta Analysis / Forecast System at the National Centers for Environmental Prediction

TL;DR: In this paper, the National Centers for Environmental Prediction (NCEP) operational early eta model was improved by an increase in the horizontal grid spacing from 80 to 48 km, incorporation of a cloud prediction scheme, replacement of the original static analysis system with a 12-h intermittent data assimilation system using the ETa model, and use of satellite-sensed total column water data in the eta optimum interpolation analysis.
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