(Q57059495)

K. Wang

19

0 references

Justin Sheffield

J. Sheffield

17

0 references

Gianpaolo Balsamo

G. Balsamo

8

0 references

Matthew Rodell

M. Rodell

16

0 references

Markus Reichstein

M. Reichstein

15

0 references

Matthew F. McCabe

M. F. McCabe

5

1 reference

ORCID Public Data File 2021

Paul Dirmeyer

P. A. Dirmeyer

10

1 reference

ORCID Public Data File 2021

Sonia I. Seneviratne

4

S. I. Seneviratne

0 references

Martin Jung

12

M. Jung

0 references

Eric Wood

6

E. F. Wood

0 references

author name string

C. Jiménez

1

0 references

C. Prigent

2

0 references

W. B. Rossow

7

0 references

A. K. Betts

9

0 references

J. B. Fisher

11

0 references

M. Kanamitsu

13

0 references

R. H. Reichle

14

0 references

K. Tu

Journal of Geophysical Research

18

0 references

language of work or name

English

0 references

publication date

20 January 2011

0 references

published in

0 references

volume

116

0 references

issue

D2

0 references

cites work

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An extended AVHRR 8‐km NDVI dataset compatible with MODIS and SPOT vegetation NDVI data

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Long-Term Regional Estimates of Evapotranspiration for Mexico Based on Downscaled ISCCP Data

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Scale influences on the remote estimation of evapotranspiration using multiple satellite sensors

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Sensitivity of satellite microwave and infrared observations to soil moisture at a global scale: Relationship of satellite observations to in situ soil moisture measurements

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A simple method to estimate actual evapotranspiration from a combination of net radiation, vegetation index, and temperature

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