Comparison of land-precipitation coupling strength using observations and models

Xubin Zeng, Mike Barlage, Chris Castro, Kelly Fling

Research output: Contribution to journalArticlepeer-review

41 Scopus citations

Abstract

Numerous studies have attempted to address the land-precipitation coupling, but scientists' understanding remains limited and discrepancies still exist from different studies. A new parameter Γ is proposed here to estimate the land-precipitation coupling strength based on the ratio of the covariance between monthly or seasonal precipitation and evaporation anomalies (from their climatological means) over the variance of precipitation anomalies. The Γ value is easy to compute and insensitive to the horizontal scales used; however, it does not provide causality. A relatively high Γ is a necessary-but not sufficient-condition for a relatively strong land-precipitation coupling. A computation of Γ values using two global reanalyses (ECMWF and NCEP), one regional reanalysis [North American Regional Reanalysis (NARR)], and observed precipitation along with Variable Infiltration Capacity (VIC)-derived evaporation data indicates that the land-precipitation coupling is stronger in summer and weaker in winter. The strongest coupling (i.e., hot spots) occurs over the western and central parts of North America, part of the Eurasia midlatitude, and Sahel in boreal summer and over most of Australia, Argentina, and South Africa in austral summer. The Community Climate System Model, version 3 (CCSM3) shows much higher Γ values, consistent with the strong coupling shown by its atmosphere-land coupled components in previous studies. Its overall spatial pattern of Γ values is not affected much over most regions by the doubling of CO2 in CCSM3. The Γ values from the Regional Atmospheric Modeling System (RAMS) are more realistic than those from CCSM3; however, they are still higher than those from observations over North America.

Original languageEnglish (US)
Pages (from-to)979-994
Number of pages16
JournalJournal of Hydrometeorology
Volume11
Issue number4
DOIs
StatePublished - Aug 2010

Keywords

  • Coupled models
  • Evaporation
  • Model comparison
  • Precipitation
  • Seasonal variability

ASJC Scopus subject areas

  • Atmospheric Science

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