Remotely sensed estimates of evaporation for irrigated cropsin northern Mexico

J. Garatuza-Payan, W. J. Shuttleworth, R. T. Pinker, C. J. Watts

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Hourly estimates of solar radiation were derived from satellite data for the Yaqui Valley in Mexico, made on a 50 km grid using the GEWEX/SRB algorithm applied with GOES-East data and, on a 4 km grid, using a high-resolution development of the algorithm with GOES-West data. On average, values derived from GOES-East are 18% greater, while those from GOES-West are 9% lower than field measurements. After re-calibration, random differences between hourly satellite estimates and surface observations remained. These were markedly reduced when daily-average values were compared. Root mean square error (RMSE) between the satellite and the surface measurements is lower for the high-resolution satellite estimates than it is for the low-resolution estimates, and there is a noticeable increase in apparent structure with the high-resolution data. Finally, the application of the high-resolution estimates of solar radiation to calculate daily estimates of crop evaporation for wheat and cotton fields is demonstrated.

Original languageEnglish (US)
Pages (from-to)286-291
Number of pages6
JournalIAHS-AISH Publication
Issue number267
StatePublished - 2000
Externally publishedYes

Keywords

  • Cotton
  • Evapotranspiration
  • GOES
  • Makkink equation
  • Mexico
  • Remote sensing
  • Solar radiation
  • Sonora
  • Wheat

ASJC Scopus subject areas

  • Oceanography
  • Water Science and Technology

Fingerprint

Dive into the research topics of 'Remotely sensed estimates of evaporation for irrigated cropsin northern Mexico'. Together they form a unique fingerprint.

Cite this