Por favor, use este identificador para citar o enlazar a este item: http://hdl.handle.net/10261/113518
COMPARTIR / EXPORTAR:
logo share SHARE logo core CORE BASE
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE

Invitar a revisión por pares abierta
Título

SMOS-derived soil moisture anomalies and drought indices: A comparative analysis using in situ measurements

AutorScaini, Anna; Sánchez, Nilda; Vicente Serrano, Sergio M. CSIC ORCID ; Martínez-Fernández, José
Palabras claveAnomalies
SPEI
soil moisture
SPI
SMOS
Fecha de publicación2015
EditorWiley-Blackwell
CitaciónHydrological Processes 29(3): 373-383 (2015)
ResumenThe objective of this analysis is to demonstrate the feasibility of using a composite L2 Soil Moisture and Ocean Salinity (SMOS) soil moisture product for determining drought conditions by taking advantage of its spatial and temporal resolutions. The work investigates the potential relationships between soil moisture anomalies and two drought indices, the Standardized Precipitation Index and the Standardized Precipitation Evapotranspiration Index, both calculated on a ten-day basis. As the two drought indices can be applied to different time scales for precipitation series, the influence of time scale on the drought definition is also studied. The anomalies were calculated both for the in situ soil moisture by REMEDHUS (Soil Moisture Measurement Stations Network, Spain) and from the SMOS L2 soil moisture product. In general, in situ anomalies exhibit higher correlation coefficients for the drought indices than those of SMOS, except for the shortest time scale. As expected, the short-term remotely sensed anomalies have a high response to precipitation events. This effect may be due to the greater sensitivity of SMOS data to rainfall, as well as to the spatial averaged nature of its observations. The optimal time scale was 1month for the SMOS values and ranged between 30 and 50days for the in situ values. The use of evapotranspiration in the calculation of the indices did not improve the description of the anomalies. The relationship between indices and soil moisture conditions provides encouraging results. Indeed, this method generates preliminary but valuable insights for future satellite products. © 2014 John Wiley & Sons, Ltd.
Versión del editorhttp://dx.doi.org/10.1002/hyp.10150
URIhttp://hdl.handle.net/10261/113518
DOI10.1002/hyp.10150
Identificadoresdoi: 10.1002/hyp.10150
issn: 1099-1085
Aparece en las colecciones: (IPE) Artículos

Mostrar el registro completo

CORE Recommender

SCOPUSTM   
Citations

75
checked on 03-abr-2024

WEB OF SCIENCETM
Citations

67
checked on 29-feb-2024

Page view(s)

289
checked on 22-abr-2024

Google ScholarTM

Check

Altmetric

Altmetric


NOTA: Los ítems de Digital.CSIC están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.