South American Land Data Assimilation System (SALDAS) 5-yr retrospective atmospheric forcing datasets
Files
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
item.page.type
Journal Article (peer-reviewed)
item.page.format
Keywords
WATER RESOURCES MANAGEMENT, CLIMATE MODELLING, REMOTE SENSING, WEATHER, METEOROLOGY, DATA QUALITY, WEATHER FORECASTS, HYDROLOGICAL CYCLE, SOUTH AMERICA