Abstract

The 2015 release of the precipitation climatology from the Global Precipitation Climatology Centre (GPCC) for 1951–2000, based on climatological normals of about 75,100 rain gauges, allows for quantification of mean land surface precipitation as part of the global water cycle. In GPCC’s 2011-release, a bulk climatological correction was applied to compensate for gauge undercatch. In this paper we derive an improved correction approach based on the synoptic weather reports for the period 1982–2015. The compared results show that the climatological approach tends to overestimate the correction for Central and Eastern Europe, especially in the northern winter, and in other regions throughout the year. Applying the mean weather-dependent correction to the GPCC’s uncorrected precipitation climatology for 1951–2000 gives a value of 854.7 mm of precipitation per year (excluding Antarctica) or 790 mm for the global land surface. The warming of nearly 1 K relative to pre-industrial temperatures is expected to be accompanied by a 2%–3% increase in global (land and ocean) precipitation. However, a comparison of climatology for 30-year reference periods from 1931–1960 up to 1981–2010 reveals no significant trend for land surface precipitation. This may be caused by the large variability of precipitation, the varying data coverage over time and other issues related to the sampling of rain-gauge networks. The GPCC continues to enlarge and further improve the quality of its database, and will generate precipitation analyses with homogeneous data coverage over time. Another way to reduce the sampling issues is the combination of rain gauge-based analyses with remote sensing (i.e., satellite or radar) datasets.

Highlights

  • The Global Precipitation Climatology Centre (GPCC) has further improved and enhanced its database by adding, besides an additional level of quality-control, more precipitation data, so that the most recent release of the precipitation climatology dataset [3] is based on about 75,100 stations with climatological normals in the GPCC’s database

  • After having presented the new GPCC undercatch correction for the period 1982–2015 in Section 5 it will be discussed how the mean precipitation over land derived from GPCC’s new precipitation climatology fits into the larger picture of the global water cycle as described in [12,13,14] and how the variations over the different 30-year periods compare to the expected changes in the global water cycle in the context of climate change [15]

  • Since the 2011-release of its precipitation climatology [1] described in [2] the GPCC has further enhanced its database

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Summary

Introduction

Gridded data sets of long-term mean (climatological) precipitation help to quantify the mean characteristics of the global water and energy cycle and its changes in the context of climate change. The GPCC undertook the large effort of re-assessing the synoptic weather reports back to 1982 based on the methodology according to [6] This allows an improved assessment of the correction for the gauge undercatch, taking into account the weather conditions (inter alia), as well as the precipitation phase (liquid, mixed, solid) for each individual day in the entire period since 1982. After having presented the new GPCC undercatch correction for the period 1982–2015 (based on SYNOP weather reports) in Section 5 it will be discussed how the mean precipitation over land derived from GPCC’s new precipitation climatology fits into the larger picture of the global water cycle as described in [12,13,14] and how the variations over the different 30-year periods compare to the expected changes in the global water cycle in the context of climate change [15]

GPCC’s Data Base
Spatial distribution monthlyin-situ in-situ stations precipitation normal in
New 2015 Release of GPCC’s Precipitation Climatology
Comparison of the 2015 Release to the 2011 Release
Variations of Mean Precipitation over Different Reference Periods
Weather-Dependent the Systematic
10. Example of the mean percentage for January
Findings
Conclusions
Full Text
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