104 Works

CM SAF Microwave Upper Tropospheric Humidity (UTH) Data Record - Edition 1

Christoforos Tsamalis, Rob King, Lizzie Good, Viju John, Rainer Hollmann, Nathalie Selbach, Johannes Kaiser & Martin Werscheck
This CM SAF climate data record provides daily estimates of Upper Tropospheric Humidity (UTH) derived from passive microwave sounders. UTH contributes significantly to the atmospheric greenhouse effect by having a strong influence on the outgoing longwave radiation, despite the smaller concentration by mass in comparison to lower troposphere. Long-term observations of UTH can therefore be used to monitor changes in upper tropospheric water vapour loading and subsequently to infer changes in the radiative effect of...

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...

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...

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...

GPCC Monitoring Product Version 5.0 at 2.5°: 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 2.5° 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 Precipitation Climatology Version 2018 at 0.25°: 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...

Hamburg Ocean Atmosphere Parameters and Fluxes from Satellite Data - HOAPS 3.2

Karsten Fennig, Axel Andersson, Stephan Bakan, Christian-Phillip Klepp & Marc Schröder
The Hamburg Ocean Atmosphere Parameters and Fluxes from Satellite Data (HOAPS) set is a completely satellite based climatology of precipitation, evaporation and freshwater budget (evaporation minus precipitation) as well as related turbulent heat fluxes and atmospheric state variables over the global ice free oceans. All variables are derived from SSM/I passive microwave radiometers, except for the SST, which is taken from AVHRR measurements. The data set includes multi-satellite averages, inter-sensor calibration, and an efficient sea...

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 Climatology Version 2015 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, Bruno Rudolf, Udo Schneider & Markus Ziese
This is the GPCC Precipitation Climatology providing the mean monthly global land-surface precipitation for every month of the year and the annual total. It is based on the 75,000 stations world-wide that feature record durations of 10 years or longer, for the target reference period January 1951 to December 2000. However, if no station data were available for the target period, earlier or later data records of 10 years or longer are considered, yielding a...

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...

SEVIRI cloud mask dataset - Edition 1

Anke Kniffka, Martin Stengel & Rainer Hollmann
The SEVIRI cloud mask dataset has been generated and released by the EUMETSAT Satellite Application Facility on Climate Monitoring (CM SAF) to enhance the cloud property dataset CLAAS. The SEVIRI cloud mask dataset contains the cloud mask in 15 minutes temporal resolution. The dataset is pixel based, where a SEVIRI pixel is about 4x4 km² in size, depending on location in SEVIRI's field of view. The data are provided with regional coverage from ± 60°...

ESA Cloud_cci cloud property datasets retrieved from passive satellite sensors: AVHRR-PM L3C/L3U cloud products - Version 3.0

Martin Stengel, Oliver Sus, Stefan Stapelberg, Stephan Finkensieper, Benjamin Würzler, Daniel Philipp, Rainer Hollmann & Caroline Poulsen

HOAPS/GPCC global daily precipitation data record with uncertainty estimates using satellite and gauge based observations at 1.0°

Axel Andersson, Markus Ziese, Felix Dietzsch, Marc Schröder, Andreas Becker & Kirstin Schamm
This dataset contains global precipitation observations combined from satellite and rain gauge data over ocean and over land, respectively. It spans the years 1988-2008 and has a spatial resolution of 1.0°×1.0°. Satellite observations are based on SSMI/I data of the HOAPS-3.2 dataset of CM SAF. These data have been extended with observations from the TMI microwave imager. The basic rain rate retrieval is based on a neuronal network approach. The retrieval excludes sea-ice covered regions....

HOAPS/GPCC global daily precipitation data record with uncertainty estimates using satellite and gauge based observations at 2.5°

Axel Andersson, Markus Ziese, Felix Dietzsch, Marc Schröder, Andreas Becker & Kirstin Schamm
This dataset contains global precipitation observations combined from satellite and rain gauge data over ocean and over land, respectively. It spans the years 1988-2008 and has a spatial resolution of 2.5°×2.5°. Satellite observations are based on SSMI/I data of the HOAPS-3.2 dataset of CM SAF. These data have been extended with observations from the TMI microwave imager. The basic rain rate retrieval is based on a neuronal network approach. The retrieval excludes sea-ice covered regions....

Fundamental Climate Data Record of Microwave Imager Radiances, Edition 3

Karsten Fennig, Marc Schröder & Rainer Hollmann
The CM SAF FCDR of Microwave Imager Radiances comprises inter-calibrated brightness temperatures (BTRs) from the SMMR, SSM/I and SSMIS radiometers. It covers the time period from October 1978 to December 2015 including all available data from the SMMR radiometer aboard Nimbus–7, the SSM/I radiometers aboard F08, F10, F11, F13, F14, and F15 and the SSMIS radiometers aboard F16, F17, and F18. It provides homogenised and inter-calibrated BTRs in a user friendly data format. SMMR, SSM/I...

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.

Free Tropospheric Humidity from METEOSAT

Marc Schröder & Rémy Roca
The CM SAF Free Tropospheric Humidity (FTH) data set from METEOSAT2-5 and METEOSAT7-9 provides the mean relative humidity over a deep layer of the troposphere within ±45° longitude and ±45° latitude. The retrieval was developed at Centre National de la Recherche Scientifique (CNRS) and - after transfer to CM SAF - CM SAF and CNRS jointly extended the time series into the SEVIRI era. The product is defined under clear sky and low level cloud...

Homogenized historical German radiosonde measurements (project MOSQUITO/MiKlip)

Margit Pattantyus-Abraham
This homogenized monthly radiosonde data had been prepared within the project MOSQUITO/MiKlip, in order to generate dataset for decadal climate model validation. The data is based on 12 German radiosonde stations. Monthly means are only taken if more than 8 data per month (separately for day-time and night-time soundings) is available. The temporal coverage of the dataset ranges from January 1950 until November 2014.

GPCC Climatology Version 2011 at 0.25°: 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, Bruno Rudolf, Udo Schneider & Markus Ziese
This is the GPCC Precipitation Climatology providing the mean monthly global land-surface precipitation for every month of the year and the annual total. It is based on the 67,200 stations world-wide that feature record durations of 10 years or longer, for the target reference period January 1951 to December 2000. However, if no station data were available for the target period, earlier or later data records of 10 years or longer are considered, yielding a...

GPCC Full Data Monthly Version 2018.0 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 & 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...

Registration Year

  • 2011
    2
  • 2012
    13
  • 2013
    7
  • 2014
    3
  • 2015
    18
  • 2016
    9
  • 2017
    25
  • 2018
    15
  • 2019
    12

Resource Types

  • Dataset
    101
  • Text
    3