Analysis methods of precipitation on a global scale
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Analysis methods of precipitation on a global scale report of a GEWEX Workshop, Koblenz, Germany, 14-17 September 1992 by

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Published by World Meteorological Organization, Intergovernmental Oceanographic Commission, International Council of Scientific Unions in [Geneva, Switzerland] .
Written in English


  • Precipitation (Meteorology) -- Measurement -- Congresses.,
  • Precipitation (Meteorology) -- Congresses.,
  • Precipitation -- Mathematical models -- Congresses.

Book details:

Edition Notes

Statementorganized by the Global Precipitation Climatology Centre (GPCC)
SeriesWMO/TD -- no. 558., WCRP -- 81., WCRP (Series) -- 81.
ContributionsGEWEX Workshop, International Council of Scientific Unions., Intergovernmental Oceanographic Commission., World Meteorological Organization.
The Physical Object
Pagination1 v. (various pagings) :
ID Numbers
Open LibraryOL15409020M

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  Here, we intercompared the precipitation biases of the downscaled precipitation outputs by three downscaling methods, i.e. SNRD, BNRD and BCSD during – when compared to GPCC on the continent scale. The precipitation biases by the SNRD method tend to enlarged during certain months and those by BNRD method distribute evenly from one Cited by: 4. International Workshop on Analysis Methods of Precipitation on a Global Scale, Koblenz, 14–17 Sept. , WCRP, WMO/TD-No. , A/A/ Google Scholar Bussiéres, N. and W.D. Hogg (): The objective analysis of daily rainfall by distance weighting schemes on a meso-scale by: The Global Precipitation Measurement (GPM) mission is an international satellite mission to advance our knowledge and understanding of global precipitation. The GPM Core Observatory (CO), a collaboration between NASA and the Japan Aerospace Exploration Agency (JAXA), was launched on 28 February by an H-IIA #23 rocket from the Tanegashima Cited by: This study offers new insights on global precipitation trends across different spatial scales, using the recently developed RainSphere (Nguyen et al. ; ) tool, which allows for spatial analysis of historical precipitation observations using the PERSIANN-CDR dataset. A unique feature of RainSphere is that it allows for examining trends from pixel scale to global scale .

Knowledge of the magnitude of global (and large-scale regional) precipitation and how This is a community-based analysis of global precipitation under the auspices of the World Climate Research Program (WCRP). Archived on a global 9 grid, the But the study then used an objective method to adjust the various component. On a global scale, the observational annual-maximum daily precipitation has increased by an average of mm over the last years, or % in relative terms. ity analysis of global.   Global precipitation variations over the satellite era are reviewed using the Global Precipitation Climatology Project (GPCP) monthly, globally complete analyses, which integrate satellite and surface gauge information. Mean planetary values are examined and compared, over ocean, with information from recent satellite programs and related estimates, with generally positive agreements, . precipitation missions, such as TRMM, and improve precipitation estimates around the globe. The mission will help scientists understand how local, regional and global precipitation patterns change over time. Successes from TRMM The TRMM satellite was primarily designed to measure heavy-to-moderate rainfall over tropical and subtropical regions.

  Because ENSO is a large-scale (global) mode of variability, we reason that the influence of ENSO on precipitation would be a slowly varying function in space, and have therefore assumed that some regression parameters would be constant for all sites within a .   However, spatial analysis of the GNIP data on the global scale has been so far limited to exploring long-term mean isotope values – essentially the first moments of probability distributions of isotope δD and δ 18 O in precipitation. The method based on entropy introduced here is linked to the second moments of the distributions and has the capability of revealing more information about the . In this paper, we present a comprehensive review of the data sources and estimation methods of 30 currently available global precipitation datasets, including gauge-based, satellite-related, and.   The first is an objective precipitation verification approach comparing the daily gridded precipitation forecasts with global precipitation observations. The second, and the main focus of this paper is a new, semi‐automated evaluation approach that assesses the ability of the multi‐model ensemble precipitation summary layer to highlight.