RT info:eu-repo/semantics/article
T1 Decorrelation of satellite precipitation estimates in space and time
A1 Tapiador, Francisco Javier
A1 Marcos, Cecilia
A1 Navarro, Andrés
A1 Jiménez Alcázar, Alfonso
A1 Moreno Galdón, Raúl
A1 Sanz Justo, María Julia
K1 Precipitation
K1 Geostationary microwave sensors
K1 Polar systems
K1 22 Física
K1 2213 Termodinámica
AB Precise estimates of precipitation are required for many environmental tasks, includingwater resources management, improvement of numerical model outputs, nowcasting and evaluationof anthropogenic impacts on global climate. Nonetheless, the availability of such estimates ishindered by technical limitations. Rain gauge and ground radar measurements are limited toland, and the retrieval of quantitative precipitation estimates from satellite has several problemsincluding the indirectness of infrared-based geostationary estimates, and the low orbit of thosemicrowave instruments capable of providing a more precise measurement but suffering frompoor temporal sampling. To overcome such problems, data fusion methods have been devisedto take advantage of synergisms between available data, but these methods also present issuesand limitations. Future improvements in satellite technology are likely to follow two strategies.One is to develop geostationary millimeter-submillimeter wave soundings, and the other is to deploya constellation of improved polar microwave sensors. Here, we compare both strategies usinga simulated precipitation field. Our results show that spatial correlation and RMSE would be littleaffected at the monthly scale in the constellation, but that the precise location of the maximum ofprecipitation could be compromised; depending on the application, this may be an issue.
PB MDPI
SN 2072-4292
YR 2018
FD 2018
LK https://uvadoc.uva.es/handle/10324/57903
UL https://uvadoc.uva.es/handle/10324/57903
LA eng
NO Remote Sensing, 2018, vol. 10, n. 5, p. 752
NO Producción Científica
DS UVaDOC
RD 08-ago-2024