Near-global covariability of hourly precipitation in space and time

Kevin E. Trenberth, Yongxin Zhang

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

A detailed analysis of hourly precipitation from 60°N to 60°S for the covariability is performed at 0.25° resolution using the new CMORPH dataset. For all points, correlations are computed with surrounding points both concurrently and for various leads and lags up to a day. Results are more coherent over the oceans than land; the contours of constant correlation tend to be elliptical, oriented northeast-southwest in the northern extratropics and southeast-northwest in the southern extratropics. An ellipse is fitted to the correlation pattern, and major and minor axis vectors and eccentricity are mapped. Based upon both the isotropic correlations and ellipse, points are allocated to one of 20 clusters, and 16 are documented. Over the main extratropical ocean storm tracks, correlations exceed 0.8 for points 50 km distant and fall to about 0.3 at about 5° radius. In the tropics values drop to 0.65 within 50 km and 0.2 at 5° radius. Over land, values are lower in summer and drop to 0.1 at 5° radius. Decorrelation e-folding distances range from less than 50 km over land to 200 km over extratropical ocean storm tracks. The movement of precipitation is compared with mean atmospheric winds. The lead-lag relationships indicate movement of systems but reveal the relatively short lifetimes of precipitation, of less than 12 h, even taking movement into account. The orientation of the ellipse reflects the structures of rain phenomena (fronts, etc.) rather than movement. These statistics demonstrate that daily averages fail to capture the essential character of precipitation.

Original languageEnglish
Pages (from-to)695-713
Number of pages19
JournalJournal of Hydrometeorology
Volume19
Issue number4
DOIs
StatePublished - Apr 1 2018

Keywords

  • Hydrologic cycle
  • Hydrometeorology
  • Moisture/moisture budget
  • Precipitation
  • Rainbands
  • Rainfall

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