South American Land Data Assimilation System (SALDAS) 5-yr retrospective atmospheric forcing datasets

Date

2009

Journal Title

Journal ISSN

Volume Title

Publisher

American Meteorological Society

Abstract

The rain gauge data available in South America are very sparse and strongly biased towards more populated areas near the edge of the continent or near inland cities along the main river courses. Results of the study show the South American Land Data Assimilation System (SALDAS) dataset has a positive bias in temperature typically between 0 and 4 K. This paper describes the creation and validation of the meteorological forcing datasets used with the SALDAS System. Land surface models (LSMs) are an important component of numerical weather prediction (NWP) and global climate models, which can also be used to assess surface hydrology.

Description

Keywords

WATER RESOURCES MANAGEMENT, CLIMATE MODELLING, REMOTE SENSING, WEATHER, METEOROLOGY, DATA QUALITY, WEATHER FORECASTS, HYDROLOGICAL CYCLE, SOUTH AMERICA

Citation

DOI