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Found 11 results.

Monthly anomalies of surface outgoing longwave radiation

Maps of anomalies of monthly mean surface outgoing longwave radiation derived from METEOSAT-Data by CM-SAF on a 0.25x0.25 degree grid (reference period 1983ff), provided by WMO Regional Climate Centre (RCC) on Climate Monitoring

Anomalies of monthly mean surface air temperature: maps

Maps of anomalies of monthly mean temperature, (deviation from the 1961-1990 normal), derived from CLIMAT bulletins on a 0.1x0.1 degree grid, provided by WMO RA VI Regional Climate Centre (RCC) on Climate Monitoring

Monthly anomalies of surface net shortwave radiation

Maps of anomalies of monthly mean surface net shortwave radiation derived from METEOSAT-Data by CM-SAF on a 0.25x0.25 degree grid (reference period 1983ff), provided by WMO Regional Climate Centre (RCC) on Climate Monitoring

Monthly anomalies of surface incoming shortwave radiation

Maps of anomalies of monthly mean surface incoming shortwave radiation derived from METEOSAT-Data by CM-SAF on a 0.25x0.25 degree grid (reference period 1983ff), provided by WMO Regional Climate Centre (RCC) on Climate Monitoring

Anomalies of monthly mean of sunshine duration: maps

Maps of anomalies of monthly mean sunshine duration derived from CLIMAT bulletins on a 0.1x0.1 degree grid (reference period 1961-1990), provided by WMO RA VI Regional Climate Centre (RCC) on Climate Monitoring

Monthly anomalies of surface net longwave radiation

Maps of anomalies of monthly mean surface net longwave radiation derived from METEOSAT-Data by CM-SAF on a 0.25x0.25 degree grid (reference period 1983-ff), provided by WMO Regional Climate Centre (RCC) on Climate Monitoring

Global Precipitation Analysis Products of the GPCC

The Global Precipitation Climatology Centre (GPCC) has been established in 1989 on request of the World Meteorological Organization (WMO). It is operated by Deutscher Wetterdienst (DWD, National Meteorological Service of Germany) as a German contribution to the World Climate Research Programme (WCRP). Mandate of the GPCC is the global analysis of monthly precipitation on earth’s landsurface based on in situ raingauge data. Several products are availabe e.g. First Guess Product, First Guess Daily Product, Monitoring Product, ....

Monthly anomalies of TPW for Europe

Maps of monthly anomalies of precipitable water derived from SATEM bulletins by gridding to 5x5 degree grid and interpoation to a 1x1 degree grid (reference period 1980-2005), (near realtime product), provided by WMO Regional Climate Centre (RCC) on Climate Monitoring

Monthly means of land and sea surface temperature (°C) from 1962 to 2019

We related the sea surface temperature data from the Helgoland Roads Time Series, one of the most important and detailed long-term in situ marine ecological time series, to the Sylt Roads Time Series and spatially averaged North Sea, Germany, Europe, North Atlantic and Northern Hemisphere surface temperatures. The hierarchical and comparative statistical evaluation of all of these time series relative to one another allows us to relate marine ecosystem change to temperature in terms of time (from 1962 to 2019) and spatial scales (global to local). The objectives are: 1.to investigate the warming in the North Sea in terms of different geographical scales and typical weather indices (North Atlantic Oscillation), 2.to document the different types of changes observed: trends, anomalies and variability 3.to differentiate seasonal shifts, 4.to evaluate anomalies and frequency distributions of temperature over time, and 5.to evaluate hot and cold spells and their variability. Spatially averaged datasets are extracted from gridded HadCRUT4 and HadSST3 reanalysis, the European Environment Agency and the German Weather Service (DWD). Datasets are analyzed in terms of yearly and monthly surface temperature averages and their anomalies relative to 1960s-1990s period. The North Atlantic Oscillation winter mean is the December, January and February average of the data made available by the National Center for Atmospheric Research (NCAR). For detailed information about the datasets, please refer to Amorim & Wiltshire et al. (2023) - https://doi.org/10.1016/j.pocean.2023.103080.

FP4-ENV 2C, Modelling the effect of land degradation on climate

General Information: The Mediterranean region has experienced drastic changes in land use and climate in the last century. Some of these changes are still occurring. Modelling studies have shown that rainfall in particular may be strongly related to antecedent soil moisture and that the land surface plays a critical role in determining size and location of the rain events. Critical is how a long term drought will exacerbate or extend the aridity of a region. This study will focus on the climatic effects of land degradation in the Mediterranean and the Sahel, the latter area already subject to severe land degradation. A combination of GCM and Regional scale modelling will be used to better understand the climate response to land degradation and will try to assess the uncertainty involved in current climate forecast as well as the relative role of the ocean versus the land surface in forcing the climate. Datasets from the series of land surface experiments in semi-arid areas (EFEDA, HAPEX-Sahel) will be used to calibrate, improve and test the models. OBJECTIVES: - to understand the climatic responses associated with land cover ' change ' in semi-arid regions, particularly land surface degradation, and thus the causes of persistent drought. - To understand the relative influences of Sea surface temperature anomalies and land cover change on likely climate variability in the Mediterranean and the Sahel. - Investigate the influence of scale and degree of degradation on the climatic response. METHODOLOGY: Three of the major Global Climate Models in Europe (and one from the USA) plus two Regional Climate Models will be used. To intercompare the results from these models the land surface schemes will be calibrated and tested with common sets of land surface data from the EFEDA and HAPEX-Sahel field experiments. Also common land cover classifications and desertification scenarios will be developed. Model integrations will be made using sea surface temperature patterns from extreme wet and dry years. Questions of scale will be tackled, firstly, by simulating effect in the Sahel (continental scale) and the Iberian Peninsula (regional scale), secondly, by investigating partial desertification and, finally, by using regional and global climate models. The project will increase our understanding of the climate system, improve climate models, provide a better understanding of climate variability and develop the scientific foundation for rational management of land resources in parts of Europe threatened by desertification. Prime Contractor: Natural Environment Research Council, Institute of Hydrology; Crowmarsh-Gifford; UK.

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