Mots-clés
Biais statistique ; Delta ; Donnée climatique ; Etats-Unis ; Image radar ; Mississippi ; Méthodologie ; Précipitation ; Réseau d'observation ; TélédétectionClimatic data ; Delta ; Methodology ; Mississippi ; Observation network ; Precipitation ; Radar imagery ; Remote sensing ; Statistical bias ; United States of AmericaDato climático ; Delta ; Imagen radar ; Metodología ; Precipitación ; Red de observación ; Sesgo estadístico ; TeledetecciónEvaluation of surface and radar-estimated precipitation data sources over the Lower Mississippi River alluvial plain
Auteur(s) et Affiliation(s)
DYER, J.
Dep. of Geosciences,Univ., Mississippi, Etats-Unis
Description :
The Mississippi River floodplain in northwestern Mississippi and eastern Arkansas, often referred to as the Mississippi Delta, is unique in currently having 3 sources of precipitation observations : 1) multi-sensor precipitation estimates from the National Weather Service (NWS) NEXRAD network; 2) surface observations from NWS recording stations; and 3) surface observations from U.S. Department of Agriculture (USDA) Soil Climate Analysis Network (SCAN) recording stations. For meteorological and climatological precipitation research, quantitatively defining the biases associated with available precipitation data sources is critical in selecting which source to use for a given application. Results of this research indicate that the multi-sensor data are in best agreement with surface observations during the cool season. Additionally, overall bias values among the data sources decrease after 2002, at which point the remotely sensed and surface-based estimates show improved agreement.
Type de document :
Article de périodique
Source :
Physical geography, issn : 0272-3646, 2009, vol. 30, n°. 5, p. 430-452, nombre de pages : 23, Références bibliographiques : 2,5 p.
Date :
2009
Editeur :
Pays édition : Royaume-Uni, Abingdon, Taylor and Francis
Langue :
Anglais
Anglais
Droits :
Tous droits réservés © Prodig - Bibliographie Géographique Internationale (BGI)
Tous droits réservés © Prodig - Bibliographie Géographique Internationale (BGI)