101 Works

Total column water vapour from the Microwave Radiometer (MWR) instruments onboard ERS-1, ERS-2, and ENVISAT Version 1.1

Ralf Bennartz, Martin Stengel, Marc Schröder, Rainer Hollmann, Bruno Picard & Frank Fell
The Microwave Radiometer (MWR) flown on-board Envisat, ERS-1, and ERS-2 has provided a time series of global microwave observations over a period of nearly 21 years between 1991 and 2012. A successor instrument with very similar characteristics will be carried on-board the Sentinel-3 suite of satellites which will extend the availability of the MWR observations from early 2016 well into the mid-2020s and possibly beyond. Unlike methods relying on infrared or visible/near-infrared techniques, microwave observations...

GPCC Monitoring Product Version 6.0 at 1.0°: Near Real-Time Monthly Land-Surface Precipitation from Rain-Gauges based on SYNOP and CLIMAT Data

Udo Schneider, Andreas Becker, Peter Finger, Anja Meyer-Christoffer & Markus Ziese
This is the GPCC Monitoring Product of monthly global land-surface precipitation based on the station database (SYNOP, CLIMAT) available via the Global Telecommunication System (GTS) of the World Meteorological Organization (WMO) at the time of analysis (2 months after end of an analysis month). This product contains the monthly totals on a regular latitude/longitude grid with a spatial resolution of 1.0° x 1.0° latitude by longitude. Interpolation is made on the anomalies from the GPCC...

RS92 GRUAN Data Product Version 2 (RS92-GDP.2)

Michael Sommer, Ruud Dirksen & Franz Immler
This dataset comprises reference radiosoundings performed with the Vaisala RS92. Reference in this case means that: - all known biases are corrected for - best possible vertically resolved uncertainty estimates - well-documented correction algorithms - extensive meta data collection The GCOS (Global Climate Observing System) Reference Upper-Air Network (GRUAN) data processing for the Vaisala RS92 radiosonde was developed to meet the criteria for reference measurements. These criteria stipulate the collection of metadata, the use of...

Radar climatology (RADKLIM) version 2016.003; gridded precipitation data for Germany

Tanja Winterrath, Christoph Brendel, Mario Hafer, Thomas Junghänel, Anna Klameth, Ewelina Walawender, Elmar Weigl & Andreas Becker
The data are results of the reprocessing version 2016.003 of the DWD radar-based precipitation climatology based on the RADOLAN method. The precipitation sums (RW) result from the radar-based precipitation estimation that are adjusted with precipitation measurements by gauges. The data is available on a 1 km x 1 km grid in polarstereographic projection and covers the time span of 2001 until 2015. Version 2016.003 has been produced applying a single RADOLAN version. Besides automatic station...

GPCC Full Data Monthly Version 2018.0 at 0.5°: Monthly Land-Surface Precipitation from Rain-Gauges built on GTS-based and Historic Data

Udo Schneider, Andreas Becker, Peter Finger, Anja Meyer-Christoffer & Markus Ziese
This is the centennial GPCC Full Data Monthly Product of monthly global land-surface precipitation based on ~ 80,000 stations world-wide that feature record durations of 10 years or longer. The data coverage per month varies from ~10,000 to more than 50,000 stations. This product contains the monthly totals on a regular grid with a spatial resolution of 0.25° 0.5° x 0.5° latitude by longitude. Precipitation anomalies at the stations are interpolated and then superimposed on...

Radar climatology (RADKLIM) version 2017.002; gridded precipitation data for Germany

Tanja Winterrath, Christoph Brendel, Mario Hafer, Thomas Junghänel, Anna Klameth, Katharina Lengfeld, Ewelina Walawender, Elmar Weigl & Andreas Becker
The data are results of the reprocessing version 2017.002 of the DWD radar-based precipitation climatology based on the RADOLAN method. The precipitation sums (RW) result from the radar-based precipitation estimation that are adjusted with precipitation measurements by gauges. The data is available on a 1 km x 1 km grid in polarstereographic projektion and covers the time span of 2001 until 2017. Version 2017.002 contains a thorough correction for radar artefacts compared to Version 2016.003.

Globally Gridded Drought Index with averaging periods 1, 3, 6, 9, 12, 24 and 48 months; retrospective analysis

Markus Ziese, Andreas Becker, Peter Finger, Anja Meyer-Christoffer & Udo Schneider
Summary: The Global Precipitation Climatology Centre drought index (GPCC_DI) is a combination of the Standardized Precipitation Index (SPI; McKee et al., 1993) with the DWD modification according to Pietzsch et al. (2011) and the Standardized Precipitation Evapotranspiration Index (SPEI) according to Vicento-Serrano et al. (2009). The 'Full Data Monthly, Version 7' DOI: 10.5676/DWD_GPCC/FD_M_V7_100 is used as precipitation input data. For the monthly mean temperature data NOAA's Climate Precdiction Center (CPC) Monthly Global Surface Air Temperature...

Homogenized surface air temperature series of Qingdao in China for the period 1899 to 2014

Birger Tinz & Yan Li
In order to construct a long-term homogeneous meteorological time series, based on quality control, interpolation and homogeneity methods, we objectively establish a set of homogenized monthly mean SAT series in Qingdao of China from 1899 to 2014. Three data sets combined in this series, including the newly digitized observations of Qingdao station from German National Meteorological Service from 1899-1913, adjusted SAT WM v4.01 from Delaware University during 1914 to 1959 and homogenized SAT data set...

Hamburg Ocean Atmosphere Parameters and Fluxes from Satellite Data - HOAPS 4.0

Axel Andersson, Kathrin Graw, Marc Schröder, Karsten Fennig, Julian Liman, Stephan Bakan, Rainer Hollmann & Christian Klepp
The Hamburg Ocean Atmosphere Parameters and Fluxes from Satellite data record (HOAPS) is a completely satellite based climatology of precipitation, evaporation and freshwater budget (evaporation minus precipitation) as well as of latent heat flux, total column water vapour, near surface specific humidity and near surface wind speed over the global ice free oceans. All variables are derived from recalibrated and intercalibrated measurements from SSM/I and SSMIS passive microwave radiometers, except for the SST, which is...

DecReg/MiKlip gridded fields of near-surface 2m temperature and 10m wind speed for the period 2001-2010

Sven Brinckmann & Peter Bissolli
These gridded fields covering Europe (CORDEX domain) have been prepared within the project DecReg/MiKlip, for the period 2001-2010, in order to generate datasets for decadal climate model validation. The data include monthly and daily mean, maximum and minimum near-surface (2m) temperature, and monthly and daily mean near-surface (10m) wind speed, together with error estimates. Input data for the gridding method are the synoptic station data from the DWD MIRAKEL database, supplemented by further station data...

GPCC Homogenized Precipitation Analysis HOMPRA for Europe Version 1.0 (at 0.5, 1.0, 2.5 °): Homogenized Monthly Land-Surface Precipitation and Precipitation Normals from Rain-Gauges built on GTS-based and Historic Data

Elke Rustemeier, Anja Meyer-Christoffer, Andreas Becker, Peter Finger, Udo Schneider & Markus Ziese
The new Homogenized Precipitation Analysis HOMPRA is focussing on the period 1951-2005 and consists of data from ca. 5,340 stations over europe (with at least 90% complete years of precipitation values). Method for break-point detection: approach of Caussinus and Mestre (Caussinus, Mestre 2004) ; Data correction: multiple linear regression (Mestre 2003).

GPCC Homogenized Precipitation Analysis HOMPRA for Europe Version 1.0 (at 0.5, 1.0, 2.5 °): Homogenized Monthly Land-Surface Precipitation and Precipitation Normals from Rain-Gauges built on GTS-based and Historic Data

Elke Rustemeier, Anja Meyer-Christoffer, Andreas Becker, Peter Finger, Udo Schneider & Markus Ziese
The new Homogenized Precipitation Analysis HOMPRA is focussing on the period 1951-2005 and consists of data from ca. 5,340 stations over europe (with at least 90% complete years of precipitation values). Method for break-point detection: approach of Caussinus and Mestre (Caussinus, Mestre 2004) ; Data correction: multiple linear regression (Mestre 2003).

CM SAF TOA Radiation "GERB" dataset - Edition 1

Nicolas Clerbaux, Stijn Nevens & Ilse Decoster
The CM SAF TOA Radiation "GERB" dataset is a regional dataset of reflected solar and emitted thermal radiation products derived from measurements of the Geostationary Earth Radiation Budget (GERB) onboard the geostationary Meteosat Second Generation satellites. Monthly and daily means, as well as monthly mean of hourly values, have been compiled over a time period of 7 years starting in February 2004 and ending in January 2011. Results are provided on a sinusoidal equal-area grid...

Surface Solar Radiation Data Set - Heliosat (SARAH) - Edition 1

Richard Müller, Uwe Pfeifroth, Christine Träger-Chatterjee, Roswitha Cremer, Jörg Trentmann & Rainer Hollmann
The Surface Solar Radiation Data Set - Heliosat (SARAH) is a satellite-based climatology of the solar surface irradiance, the surface direct normalized irradiance and the effective cloud albedo derived from satellite observations of the visible channels of the MVIRI and SEVIRI instruments onboard the geostationary Meteosat satellites. The data are available from 1983 to 2013 and cover the region ±65° longitude and ±65° latitude. The products are available as monthly, daily, and hourly averages on...

Top of Atmosphere Radiation MVIRI/SEVIRI Data Record

Manon Urbain, Nicolas Clerbaux, Alessandro Ipe, Florian Tornow, Rainer Hollmann, Petra Fuchs & Martin Werscheck
The CM SAF Top of Atmosphere Radiation MVIRI/SEVIRI Data Record provides a homogeneous satellite-based climatology of the TOA Reflected Solar (TRS) and Emitted Thermal (TET) radiation in all-sky conditions. The continuous monitoring of these components of the Earth Radiation Budget is of prime importance to study climate variability and change. The MVIRI and SEVIRI instruments on board the METEOSAT First and Second Generation satellites are combined to generate a long Thematic Climate Data Record covering...

GPCC Monitoring Product Version 5.0 at 1.0°: Near Real-Time Monthly Land-Surface Precipitation from Rain-Gauges based on SYNOP and CLIMAT Data

Udo Schneider, Andreas Becker, Peter Finger, Anja Meyer-Christoffer & Markus Ziese
This is the GPCC Monitoring Product of monthly global land-surface precipitation based on the station database (SYNOP, CLIMAT) available via the Global Telecommunication System (GTS) of the World Meteorological Organization (WMO) at the time of analysis (2 months after end of an analysis month). This product contains the monthly totals on a regular latitude/longitude grid with a spatial resolution of 1.0° x 1.0° latitude by longitude. Interpolation is made on the anomalies from the GPCC...

GPCC Full Data Reanalysis Version 6.0 at 2.5°: Monthly Land-Surface Precipitation from Rain-Gauges built on GTS-based and Historic Data

Udo Schneider, Andreas Becker, Peter Finger, Anja Meyer-Christoffer, Bruno Rudolf & Markus Ziese
This is the centennial GPCC Full Data Reanalysis of monthly global land-surface precipitation based on the 67,000 stations world-wide that feature record durations of 10 years or longer. This product contains the monthly totals on a regular grid with a spatial resolution of 2.5° x 2.5° latitude by longitude. Precipitation anomalies at the stations are interpolated and then superimposed on the GPCC Climatology V2015 in the corresponding resolution (DOI: 10.5676/DWD_GPCC/CLIM_M_V2011_250). The temporal coverage of the...

GPCC Full Data Reanalysis Version 6.0 at 1.0°: Monthly Land-Surface Precipitation from Rain-Gauges built on GTS-based and Historic Data

Udo Schneider, Andreas Becker, Peter Finger, Anja Meyer-Christoffer, Bruno Rudolf & Markus Ziese
This is the centennial GPCC Full Data Reanalysis of monthly global land-surface precipitation based on the 67,000 stations world-wide that feature record durations of 10 years or longer. This product contains the monthly totals on a regular grid with a spatial resolution of 1.0° x 1.0° latitude by longitude. Precipitation anomalies at the stations are interpolated and then superimposed on the GPCC Climatology V2015 in the corresponding resolution (DOI: 10.5676/DWD_GPCC/CLIM_M_V2011_100). The temporal coverage of the...

GPCC First Guess Daily Product at 1.0°: Near Real-Time First Guess Daily Land-Surface Precipitation from Rain-Gauges based on SYNOP Data

Kirstin Schamm, Markus Ziese, Andreas Becker, Peter Finger, Anja Meyer-Christoffer, Bruno Rudolf & Udo Schneider
This is the GPCC First Guess Daily Product of daily global land-surface precipitation based on the station database (SYNOP) available via the Global Telecommunication System (GTS) of the World Meteorological Organization (WMO) at the time of analysis (3 - 5 days after end of the analysis month). This product contains the daily totals for a month on a regular latitude/longitude grid with a spatial resolution of 1.0° x 1.0° latitude by longitude. Interpolation is made...

GPCC First Guess Product at 1.0°: Near Real-Time First Guess Monthly Land-Surface Precipitation from Rain-Gauges based on SYNOP Data

Udo Schneider, Andreas Becker, Peter Finger, Anja Meyer-Christoffer, Bruno Rudolf & Markus Ziese
This is the GPCC First Guess Product of monthly global land-surface precipitation based on the station database (SYNOP) available via the Global Telecommunication System (GTS) of the World Meteorological Organization (WMO) at the time of analysis (3 - 5 days after end of the analysis month). This product contains the monthly totals on a regular latitude/longitude grid with a spatial resolution of 1.0° x 1.0° latitude by longitude. Interpolation is made on the anomalies from...

RS-11G GRUAN Data Product Version 1 (RS-11G-GDP.1)

Nobuhiko Kizu, Takuji Sugidachi, Eriko Kobayashi, Shunsuke Hoshino, Kensaku Shimizu, Ryota Maeda & Masatomo Fujiwara
This dataset comprises reference radiosoundings performed with the Meisei RS-11G. Reference in this case means that: all known biases are corrected for, best possible vertically resolved uncertainty estimates, well-documented correction algorithms, extensive meta data collection. The GCOS (Global Climate Observing System) Reference Upper-Air Network (GRUAN) data processing for the Meisei RS-11G radiosonde was developed to meet the criteria for reference measurements. These criteria stipulate the collection of metadata, the use of well-documented correction algorithms, and...

GPCC Precipitation Climatology Version 2018 at 2.5°: Monthly Land-Surface Precipitation Climatology for Every Month and the Total Year from Rain-Gauges built on GTS-based and Historic Data

Anja Meyer-Christoffer, Andreas Becker, Peter Finger, Udo Schneider & Markus Ziese
The new Global Precipitation Climatology is focussing on the period 1951-2000 and consists of data from ca. 80,000 stations. The climatology comprises normals collected by WMO (CLINOs), delivered by the countries to GPCC or calculated from time-series of monthly data (with at least 10 complete years of data) available in our data base. In case that time series of sufficient length (more than 40 years) for the period 1951-2000 were not available from a specific...

Surface Radiation Data Set - Heliosat (SARAH) - Edition 2.1

Uwe Pfeifroth, Steffen Kothe, Jörg Trentmann, Rainer Hollmann, Petra Fuchs, Johannes Kaiser & Martin Werscheck
The first update of the second edition of the Surface Solar Radiation Data Set - Heliosat (SARAH-2) is a satellite-based climate data record of the solar surface irradiance, the surface direct irradiance (direct horizontal and direct normalized), the sunshine duration, spectral information, and the effective cloud albedo derived from satellite-observations of the visible channels of the MVIRI and the SEVIRI instruments onboard the geostationary Meteosat satellites. The data are available from 1983 to 2017 and...

Vertically Integrated Water Vapour from SSM/I

Markus Jonas, Marc Schröder, Jörg Schulz, Axel Andersson, Stephan Bakan, Karsten Fennig, Hartmut Grassl & Christian-Phillip Klepp
A dataset of vertically integrated water vapour was derived from homogenized SSM/I observations at the Satellite Application Facility on Climate Monitoring (CM SAF). CM SAF utilized observations of the Special Sensor Microwave/Imager (SSM/I) flying onboard Defense Meteorological Satellite Program (DMSP) platforms F08, F10, F11, F13, F14 and F15 using data in native SSM/I resolution from the Hamburg Ocean-Atmosphere Parameters and Fluxes from Satellite (HOAPS) data set. The CM SAF water vapour dataset from SSM/I has...

Registration Year

  • 2011
    2
  • 2012
    13
  • 2013
    7
  • 2014
    3
  • 2015
    18
  • 2016
    9
  • 2017
    25
  • 2018
    15
  • 2019
    9

Resource Types

  • Dataset
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