51 Works

HD(CP)2 short term observation data of Doppler Lidar, HOPE campaign by KITcube

Norbert Kalthoff
Project: High Definition Clouds and Precipitation for Climate Prediction-Observations - HD(CP)2 is a BMBF funded German-wide research initiative to improve our understanding of cloud and precipitation processes and their implication for climate prediction. The specific objectives for the HD(CP)2 observations team during the first and second phase of the project are as follows: Phase I Objective: To evaluate and develop encapsulations of relevant data, including statistical properties, over different spatio-temporal scales in order to enable...

Seasonal Water Resources Management for Semiarid Areas: Bias-corrected and spatially disaggregated seasonal forecasts for the Rio São Francisco Basin (Brazil)

Christof Lorenz, Tanja Portele, Patrick Laux & Harald Kunstmann
Project: Seasonal Water Resources Management for Semiarid Areas: Regionalized Global Data and Transfer to Practise - GRoW-SaWaM (BMBF): The SaWaM-Project, which is funded by the German Federal Ministry of Education and Research (BMBF) within the "Water as a global Resource (GRoW)“ initiative, aims at the development of methods and products for improving the water management in semi-arid regions. The methodological core of the project is a model chain, where global hydrometeorological information is first adapted...

Model output prepared in support of the analysis of impacts to the stratification along the Brazilian shelf under a strong warming scenario (RCP8.5)

Mihael Machado de Souza, Moritz Mathis & Thomas Pohlmann
Project: Effects of Climate Change in the Physical Conditions of the Brazilian Shelf - This project aims to investigate the possible impacts of anthropogenic climate change to the Brazilian shelf waters. This is carried out by analyzing its impact to process at large (Brazil-Malvinas Confluence) and regional scales (shelf water stratification and the upwelling of South Atlantic Central Water), affecting the continental shelf. These analysis are based on the downscaling of outputs from the Max-Planck-Institute...

DKRZ Jahrbuch 2018-2019

Michael Böttinger, Jana Meyer, Panagiotis Adamidis, Ivonne Anders, Joachim Biercamp, Hendryk Bockelmann, Merret Buurman, Carsten Ehbrecht, Claudia Frauen, Kerstin Fieg, Ulf Garternicht, Daniel Heydebreck, Dieter Kasang, Stephan Kindermann, Andrea Lammert, Michael Lautenschlager, Thomas Ludwig, Claudia Martens, Maria Moreno de Castro, Karsten Peters, Niklas Röber, Martin Schupfner, Dela Spickermann, Hannes Thiemann, Frank Toussaint … & Florian Andreas Ziemen
Project: Literature - Literature e.g. grey literature Summary: The "Jahrbuch 2018-2019" shows a good profile of all the activities at DKRZ. It summerizes the results of important completed projects and takes a look at ongoing and newly started projects. The issue "Jahrbuch 2018-2019" reports among other things about storm-resolving climate and atmosphere models, about the German contribution to the report on climate impacts at + 1.5°C global warming and about the contract for the successor...

North America Historical Monthly Spatial Climate Models, 1901-2016

Heather MacDonald, Daniel McKenney, Pia Papadopol, Kevin Lawrence, John Pedlar & Michael Hutchinson
Project: Canada-United States of America high resolution gridded climate data - The data reflect the efforts of researchers at the Canadian Forest Service (CFS) - Natural Resources Canada, a sector within Canada’s federal government, the Australian National University, Environment and Climate Change Canada and the US NOAA. The models make use of US NOAA’s “version j” station data ( https://www.ncei.noaa.gov/data/north-american-dataset/; see also Menne et al 2009) and ANUSPLIN (https://fennerschool.anu.edu.au/research/products/anusplin) version 4.5. Note updates for additional...

HD(CP)2 short term observation data of Disdrometer, HOPE campaign by LACROS

Patric Seifert
Project: High Definition Clouds and Precipitation for Climate Prediction-Observations - HD(CP)2 is a BMBF funded German-wide research initiative to improve our understanding of cloud and precipitation processes and their implication for climate prediction. The specific objectives for the HD(CP)2 observations team during the first and second phase of the project are as follows: Phase I Objective: To evaluate and develop encapsulations of relevant data, including statistical properties, over different spatio-temporal scales in order to enable...

CMIP6 ScenarioMIP DKRZ MPI-ESM1-2-HR ssp126_r1i1p1f1 - RCM-forcing data

Martin Schupfner, Karl-Hermann Wieners, Fabian Wachsmann, Christian Steger, Matthias Bittner, Johann Jungclaus, Barbara Früh, Klaus Pankatz, Marco Giorgetta, Christian Reick, Stephanie Legutke, Monika Esch, Veronika Gayler, Helmuth Haak, Philipp de Vrese, Thomas Raddatz, Thorsten Mauritsen, Jin-Song von Storch, Jörg Behrens, Victor Brovkin, Martin Claussen, Traute Crueger, Irina Fast, Stephanie Fiedler, Stefan Hagemann … & Erich Roeckner
Project: RCM forcing data from MPI-ESM1-2 (ECHAM6/JSBACH/MPIOM/HAMOCC) CMIP6 experiments - This project provides variables from MPI-ESM1-2 CMIP6 experiments performed by DKRZ, MPI-M and DWD in the context of the BMBF funded CMIP6 DICAD project (FKZ 01LP1605A). The experiments are described at https://www.wcrp-climate.org/wgcm-cmip/wgcm-cmip6 . Essential variables for regional climate modelling (RCM) are available. They are stored in native GRIB-format (e.g. spectral). The CMIP6 experiments have been performed with various model versions of MPI-ESM1-2. The low-resolution version...

DKRZ Jahrbuch 2012-2013

Michael Böttinger, Jana Meyer, Jörg Behrens, Joachim Biercamp, Carsten Ehbrecht, Kerstin Fieg, Ulf Garternicht, Ksenia Gorges, Ilse Hamann, Heinke Hoeck, Thomas Jahns, Stephan Kindermann, Michael Lautenschlager, Stephanie Legutke, Torsten Rathmann, Martina Stockhause, Hannes Thiemann, Frank Toussaint, Gerald Vogt & Tobias Weigel
Project: Literature - Literature e.g. grey literature Summary: The issue 'Jahrbuch 2012-2013' focuses on the CMIP5-project for the 5th Assessment Report of IPCC and on the 25th jubilee of DKRZ (only available in German, published in June 2014). The pdf documents may be freely downloaded and used. Re-use of single parts (i.e. pictures) is only permitted for non-commercial purposes - except for those pictures that are copyrighted by commercial stock photo agencies. Details can be...

The highly structured Modular Earth Submodel System (MESSy), version messy_2.54.0p7

Project: The Modular Earth Submodel System (MESSy) - The Modular Earth Submodel System (MESSy) is a software providing a framework for a standardized, bottom-up implementation of Earth System Models (or parts of those) with flexible complexity. Bottom-up means, the MESSy software provides an infrastructure with generalized interfaces for the standardized control and interconnection (=coupling) of low-level ESM components (dynamic cores, physical parameterizations, chemistry packages, diagnostics etc.), which are called submodels. MESSy comprises currently about 60...

HD(CP)2 short term observation data of Cloud radar, HOPE campaign by LACROS

Patric Seifert
Project: High Definition Clouds and Precipitation for Climate Prediction-Observations - HD(CP)2 is a BMBF funded German-wide research initiative to improve our understanding of cloud and precipitation processes and their implication for climate prediction. The specific objectives for the HD(CP)2 observations team during the first and second phase of the project are as follows: Phase I Objective: To evaluate and develop encapsulations of relevant data, including statistical properties, over different spatio-temporal scales in order to enable...

HD(CP)2 short term observation data of Raman lidar + Microwave radiometer, HOPE campaign by LIM

Andreas Foth
Project: High Definition Clouds and Precipitation for Climate Prediction-Observations - HD(CP)2 is a BMBF funded German-wide research initiative to improve our understanding of cloud and precipitation processes and their implication for climate prediction. The specific objectives for the HD(CP)2 observations team during the first and second phase of the project are as follows: Phase I Objective: To evaluate and develop encapsulations of relevant data, including statistical properties, over different spatio-temporal scales in order to enable...

HD(CP)2 short term observation data of ACTOS, HOPE-Melpitz campaign by TROPOS

Holger Siebert & Birgit Wehner
Project: High Definition Clouds and Precipitation for Climate Prediction-Observations - HD(CP)2 is a BMBF funded German-wide research initiative to improve our understanding of cloud and precipitation processes and their implication for climate prediction. The specific objectives for the HD(CP)2 observations team during the first and second phase of the project are as follows: Phase I Objective: To evaluate and develop encapsulations of relevant data, including statistical properties, over different spatio-temporal scales in order to enable...

CMIP6 CMIP DKRZ MPI-ESM1-2-HR amip - RCM-forcing data

Martin Schupfner, Karl-Hermann Wieners, Fabian Wachsmann, Christian Steger, Matthias Bittner, Johann Jungclaus, Barbara Früh, Klaus Pankatz, Marco Giorgetta, Christian Reick, Stephanie Legutke, Monika Esch, Veronika Gayler, Helmuth Haak, Philipp de Vrese, Thomas Raddatz, Thorsten Mauritsen, Jin-Song von Storch, Jörg Behrens, Victor Brovkin, Martin Claussen, Traute Crueger, Irina Fast, Stephanie Fiedler, Stefan Hagemann … & Erich Roeckner
Project: RCM forcing data from MPI-ESM1-2 (ECHAM6/JSBACH/MPIOM/HAMOCC) CMIP6 experiments - This project provides variables from MPI-ESM1-2 CMIP6 experiments performed by DKRZ, MPI-M and DWD in the context of the BMBF funded CMIP6 DICAD project (FKZ 01LP1605A). The experiments are described at https://www.wcrp-climate.org/wgcm-cmip/wgcm-cmip6 . Essential variables for regional climate modelling (RCM) are available. They are stored in native GRIB-format (e.g. spectral). The CMIP6 experiments have been performed with various model versions of MPI-ESM1-2. The low-resolution version...

CMIP6 ScenarioMIP DWD MPI-ESM1-2-HR ssp585_r2i1p1f1 - RCM-forcing data

Christian Steger, Martin Schupfner, Karl-Hermann Wieners, Fabian Wachsmann, Matthias Bittner, Johann Jungclaus, Barbara Früh, Klaus Pankatz, Marco Giorgetta, Christian Reick, Stephanie Legutke, Monika Esch, Veronika Gayler, Helmuth Haak, Philipp de Vrese, Thomas Raddatz, Thorsten Mauritsen, Jin-Song von Storch, Jörg Behrens, Victor Brovkin, Martin Claussen, Traute Crueger, Irina Fast, Stephanie Fiedler, Stefan Hagemann … & Erich Roeckner
Project: RCM forcing data from MPI-ESM1-2 (ECHAM6/JSBACH/MPIOM/HAMOCC) CMIP6 experiments - This project provides variables from MPI-ESM1-2 CMIP6 experiments performed by DKRZ, MPI-M and DWD in the context of the BMBF funded CMIP6 DICAD project (FKZ 01LP1605A). The experiments are described at https://www.wcrp-climate.org/wgcm-cmip/wgcm-cmip6 . Essential variables for regional climate modelling (RCM) are available. They are stored in native GRIB-format (e.g. spectral). The CMIP6 experiments have been performed with various model versions of MPI-ESM1-2. The low-resolution version...

HD(CP)2 short term observations data of Microwave radiometer, HOPE campaign by LACROS

Patric Seifert
Project: High Definition Clouds and Precipitation for Climate Prediction-Observations - HD(CP)2 is a BMBF funded German-wide research initiative to improve our understanding of cloud and precipitation processes and their implication for climate prediction. The specific objectives for the HD(CP)2 observations team during the first and second phase of the project are as follows: Phase I Objective: To evaluate and develop encapsulations of relevant data, including statistical properties, over different spatio-temporal scales in order to enable...

HD(CP)2 short term observation data of Meteorological data (near surface), HOPE campaign by KITcube

Norbert Kalthoff
Project: High Definition Clouds and Precipitation for Climate Prediction-Observations - HD(CP)2 is a BMBF funded German-wide research initiative to improve our understanding of cloud and precipitation processes and their implication for climate prediction. The specific objectives for the HD(CP)2 observations team during the first and second phase of the project are as follows: Phase I Objective: To evaluate and develop encapsulations of relevant data, including statistical properties, over different spatio-temporal scales in order to enable...

HD(CP)2 short term observation data of Pyranometer network, HOPE-Melpitz campaign by TROPOS

Madhavan Bomidi
Project: High Definition Clouds and Precipitation for Climate Prediction-Observations - HD(CP)2 is a BMBF funded German-wide research initiative to improve our understanding of cloud and precipitation processes and their implication for climate prediction. The specific objectives for the HD(CP)2 observations team during the first and second phase of the project are as follows: Phase I Objective: To evaluate and develop encapsulations of relevant data, including statistical properties, over different spatio-temporal scales in order to enable...

Seasonal Water Resources Management for Semiarid Areas: Bias-corrected and spatially disaggregated seasonal forecasts for the Tekeze-Atbara and Blue Nile Basins (Ethiopia/Eritrea/Sudan)

Christof Lorenz, Tanja Portele, Patrick Laux & Harald Kunstmann
Project: Seasonal Water Resources Management for Semiarid Areas: Regionalized Global Data and Transfer to Practise - GRoW-SaWaM (BMBF): The SaWaM-Project, which is funded by the German Federal Ministry of Education and Research (BMBF) within the "Water as a global Resource (GRoW)“ initiative, aims at the development of methods and products for improving the water management in semi-arid regions. The methodological core of the project is a model chain, where global hydrometeorological information is first adapted...

Quantification of NOx point sources from the TROPOspheric Monitoring Instrument (TROPOMI)

Steffen Beirle, Christian Borger, Steffen Dörner, Henk Eskes, Vinod Kumar, Adrianus de Laat & Thomas Wagner
Project: MPIC TROPOMI applications - The project "MPIC TROPOMI applications" focusses on applications of TROPOMI L2 NO2 measurements for determining NOx emissions and sinks, making use of the high signal to noise ratio and high horizontal spatial resolution of TROPOMI. Summary: We detect and quantify NOx point sources from the divergence of the horizontal NOx flux based on the continuity equation. The analysis steps are: - The NOx flux is determined for each TROPOMI (TROPOspheric...

Bericht über initialen Kernstandard und Kurationskriterien des AtMoDat Projektes (v2.4)

Anette Ganske, Angelina Kraft, Daniel Neumann, Andrea Lammert, Heinke Hoeck, Hannes Thiemann, Vivien Voss, David Grawe, Bernd Leitl, K. Heinke Schlünzen & Johannes Quaas
Project: Literature - Literature e.g. grey literature Summary: High-quality results of simulations with atmospheric models are to be published in such a way that they can be used by other scientists for further research. In order to achieve this, the data must be findable, stored in reusable form and described with sufficient metadata. Instructions to fulfil these conditions are the rules of the FAIR principles: Findable, Accessible, Interoperable, Reuseable [Wilkinson et al., 2016]. It is...

HD(CP)2 short term observation data of Differential Absorption Lidar (DIAL), HOPE campaign by IPM, Uni Hohenheim

Shravan Muppa
Project: High Definition Clouds and Precipitation for Climate Prediction-Observations - HD(CP)2 is a BMBF funded German-wide research initiative to improve our understanding of cloud and precipitation processes and their implication for climate prediction. The specific objectives for the HD(CP)2 observations team during the first and second phase of the project are as follows: Phase I Objective: To evaluate and develop encapsulations of relevant data, including statistical properties, over different spatio-temporal scales in order to enable...

HD(CP)2 short term observation data of LACROS, HOPE-Melpitz campaign by LACROS

Patric Seifert
Project: High Definition Clouds and Precipitation for Climate Prediction-Observations - HD(CP)2 is a BMBF funded German-wide research initiative to improve our understanding of cloud and precipitation processes and their implication for climate prediction. The specific objectives for the HD(CP)2 observations team during the first and second phase of the project are as follows: Phase I Objective: To evaluate and develop encapsulations of relevant data, including statistical properties, over different spatio-temporal scales in order to enable...

HD(CP)2 short term observations, all variables data of DL - scanning with varying elevation and azimuth (custom) (no. 00), HOPE campaign by LACROS, data version 00

Anne Hirsikko & Patric Seifert
Project: High Definition Clouds and Precipitation for Climate Prediction-Observations - HD(CP)2 is a BMBF funded German-wide research initiative to improve our understanding of cloud and precipitation processes and their implication for climate prediction. The specific objectives for the HD(CP)2 observations team during the first and second phase of the project are as follows: Phase I Objective: To evaluate and develop encapsulations of relevant data, including statistical properties, over different spatio-temporal scales in order to enable...

CMIP6 ScenarioMIP DKRZ MPI-ESM1-2-HR ssp245 - RCM-forcing data

Martin Schupfner, Karl-Hermann Wieners, Fabian Wachsmann, Christian Steger, Matthias Bittner, Johann Jungclaus, Barbara Früh, Klaus Pankatz, Marco Giorgetta, Christian Reick, Stephanie Legutke, Monika Esch, Veronika Gayler, Helmuth Haak, Philipp de Vrese, Thomas Raddatz, Thorsten Mauritsen, Jin-Song von Storch, Jörg Behrens, Victor Brovkin, Martin Claussen, Traute Crueger, Irina Fast, Stephanie Fiedler, Stefan Hagemann … & Erich Roeckner
Project: RCM forcing data from MPI-ESM1-2 (ECHAM6/JSBACH/MPIOM/HAMOCC) CMIP6 experiments - This project provides variables from MPI-ESM1-2 CMIP6 experiments performed by DKRZ, MPI-M and DWD in the context of the BMBF funded CMIP6 DICAD project (FKZ 01LP1605A). The experiments are described at https://www.wcrp-climate.org/wgcm-cmip/wgcm-cmip6 . Essential variables for regional climate modelling (RCM) are available. They are stored in native GRIB-format (e.g. spectral). The CMIP6 experiments have been performed with various model versions of MPI-ESM1-2. The low-resolution version...

CMIP6 ScenarioMIP DKRZ MPI-ESM1-2-HR ssp585_r1i1p1f1 - RCM-forcing data

Martin Schupfner, Karl-Hermann Wieners, Fabian Wachsmann, Christian Steger, Matthias Bittner, Johann Jungclaus, Barbara Früh, Klaus Pankatz, Marco Giorgetta, Christian Reick, Stephanie Legutke, Monika Esch, Veronika Gayler, Helmuth Haak, Philipp de Vrese, Thomas Raddatz, Thorsten Mauritsen, Jin-Song von Storch, Jörg Behrens, Victor Brovkin, Martin Claussen, Traute Crueger, Irina Fast, Stephanie Fiedler, Stefan Hagemann … & Erich Roeckner
Project: RCM forcing data from MPI-ESM1-2 (ECHAM6/JSBACH/MPIOM/HAMOCC) CMIP6 experiments - This project provides variables from MPI-ESM1-2 CMIP6 experiments performed by DKRZ, MPI-M and DWD in the context of the BMBF funded CMIP6 DICAD project (FKZ 01LP1605A). The experiments are described at https://www.wcrp-climate.org/wgcm-cmip/wgcm-cmip6 . Essential variables for regional climate modelling (RCM) are available. They are stored in native GRIB-format (e.g. spectral). The CMIP6 experiments have been performed with various model versions of MPI-ESM1-2. The low-resolution version...

Registration Year

  • 2020
    51

Resource Types

  • Dataset
    43
  • Text
    5
  • Software
    3

Affiliations

  • Helmholtz-Zentrum Geesthacht Centre for Materials and Coastal Research
    1
  • Technical University of Denmark
    1
  • KU Leuven
    1