Skip to Main Content (Press Enter)

Logo CNR
  • ×
  • Home
  • People
  • Outputs
  • Organizations
  • Expertise & Skills

UNI-FIND
Logo CNR

|

UNI-FIND

cnr.it
  • ×
  • Home
  • People
  • Outputs
  • Organizations
  • Expertise & Skills
  1. Outputs

SM2RAIN-ASCAT (2007-2018): global daily satellite rainfall data from ASCAT soil moisture observations

Academic Article
Publication Date:
2019
abstract:
Long-term gridded precipitation products are crucial for several applications in hydrology, agriculture and climate sciences. Currently available precipitation products suffer from space and time inconsistency due to the non-uniform density of ground networks and the difficulties in merging multiple satellite sensors. The recent "bottom-up" approach that exploits satellite soil moisture observations for estimating rainfall through the SM2RAIN (Soil Moisture to Rain) algorithm is suited to build a consistent rainfall data record as a single polar orbiting satellite sensor is used.
Iris type:
01.01 Articolo in rivista
Keywords:
SM2RAIN; Soil Moisture; Rainfall; Remote Sensign
List of contributors:
Filippucci, Paolo; Brocca, Luca; Camici, Stefania; Massari, Christian; Ciabatta, Luca
Authors of the University:
BROCCA LUCA
CAMICI STEFANIA
CIABATTA LUCA
MASSARI CHRISTIAN
Handle:
https://iris.cnr.it/handle/20.500.14243/392901
Published in:
EARTH SYSTEM SCIENCE DATA
Journal
  • Overview

Overview

URL

https://www.earth-syst-sci-data.net/11/1583/2019/essd-11-1583-2019.html
  • Use of cookies

Powered by VIVO | Designed by Cineca | 26.5.1.0 | Sorgente dati: PREPROD (Ribaltamento disabilitato)