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Found 29 result(s)
The WDCGG archives measurement data for greenhouse and related gases in the atmosphere and the ocean (58 gaseous species as of 24 May 2021). The data are classified into five categories according to the observation platforms or methods used. Air observation at stationary platform (surface) Vertical profile observation of air (tower) Air observation by aircraft (aircraft) Hydrographic sampling or observation of surface seawater and overlying air by ships (ship) Satellite observations (satellite)
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HYdrological cycle in the Mediterranean EXperiemnt. Considering the science and societal issues motivating HyMeX, the programme aims to : improve our understanding of the water cycle, with emphasis on extreme events, by monitoring and modelling the Mediterranean atmosphere-land-ocean coupled system, its variability from the event to the seasonal and interannual scales, and its characteristics over one decade (2010-2020) in the context of global change, assess the social and economic vulnerability to extreme events and adaptation capacity.The multidisciplinary research and the database developed within HyMeX should contribute to: improve observational and modelling systems, especially for coupled systems, better predict extreme events, simulate the long-term water-cycle more accurately, provide guidelines for adaptation measures, especially in the context of global change.
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OzFlux provides micro-meteorological measurements from over 500 stations to provide data for atmospheric model testing specific to exchanges of carbon, water vapor and energy between terrestrial ecosystems and the atmosphere.
Under the World Climate Research Programme (WCRP) the Working Group on Coupled Modelling (WGCM) established the Coupled Model Intercomparison Project (CMIP) as a standard experimental protocol for studying the output of coupled atmosphere-ocean general circulation models (AOGCMs). CMIP provides a community-based infrastructure in support of climate model diagnosis, validation, intercomparison, documentation and data access. This framework enables a diverse community of scientists to analyze GCMs in a systematic fashion, a process which serves to facilitate model improvement. Virtually the entire international climate modeling community has participated in this project since its inception in 1995. The Program for Climate Model Diagnosis and Intercomparison (PCMDI) archives much of the CMIP data and provides other support for CMIP. We are now beginning the process towards the IPCC Fifth Assessment Report and with it the CMIP5 intercomparison activity. The CMIP5 (CMIP Phase 5) experiment design has been finalized with the following suites of experiments: I Decadal Hindcasts and Predictions simulations, II "long-term" simulations, III "atmosphere-only" (prescribed SST) simulations for especially computationally-demanding models. The new ESGF peer-to-peer (P2P) enterprise system (http://pcmdi9.llnl.gov) is now the official site for CMIP5 model output. The old gateway (http://pcmdi3.llnl.gov) is deprecated and now shut down permanently.
The CCHDO provides access to standard, well-described datasets from reference-quality repeat hydrography expeditions. It curates high quality full water column Conductivity-Temperature-Depth (CTD), hydrographic, carbon and tracer data from over 2,500 cruises from ~30 countries. It is the official data center for CTD and water sample profile data from the Global Ocean Ship-Based Hydrographic Investigations Program (GO-SHIP), as well as for WOCE, US Hydro, and other high quality repeat hydrography lines (e.g. SOCCOM, HOT, BATS, WOCE, CARINA.)
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Applying the Terrestrial Systems Modeling Platform, TerrSysMP, this dataset consists of the first simulated long-term (1989-2018), high-resolution (~12.5km) terrestrial system climatology over Europe, which comprises variables from groundwater across the land surface to the top of atmosphere (G2A). This data set constitutes a near-natural realization of the European terrestrial system, which cannot be obtained from observations, and can, thus, serve as a reference for global change simulations including human water use and climate change.
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MISTRALS database is a distributed system, that enables users to access datasets produced by all the projects (ChArMEx, HyMeX, MERMex, TerMex, CORSiCA, EMSO and MOOSE) and stored in different data centres. MISTRALS (Mediterranean Integrated STudies at Regional And Local Scales) is a decennial program for systematic observations and research dedicated to the understanding of the Mediterranean Basin environmental process under the planet global change. It aims to coordinate, across the Mediterranean Basin, interdisciplinary research on atmosphere, hydrosphere, lithosphere and paleo-climate, including environmental ecology and social sciences. The objective is to achieve a better understanding of the mechanisms shaping and influencing landscape, environment and human impact of this eco-region.
The IRI/LDEO Climate Data Library is a collection of climate data sets with the focus of climate change monitoring and mitigation. Browse data by category and source, navigate and analyze datasets using maps, and the Ingrid Data Analysis Language. The IRI/LDEO also includes web tutorials.
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The IOWDB was designed for the particular requirements of the Leibniz Institute for Baltic Sea Research. It is aimed at the management of historical and recent measurement of the IOW (to some extend of other data, too) and to provide them in a user-friendly way via the research tool ODIN (Oceanographic Database research with Interactive Navigation).
Search and access 201 data sets covering the Atmosphere, Ocean, Land and more. Explore climate indices, reanalyses and satellite data and understand their application to climate model metrics. This is the only data portal that combines data discovery, metadata, figures and world-class expertise on the strengths, limitations and applications of climate data.
The NCEP/NCAR Reanalysis Project is a joint project between the National Centers for Environmental Prediction (NCEP, formerly "NMC") and the National Center for Atmospheric Research (NCAR). The goal of this joint effort is to produce new atmospheric analyses using historical data (1948 onwards) and as well to produce analyses of the current atmospheric state (Climate Data Assimilation System, CDAS).
The CAS Data Catalog contains a variety of atmospheric and oceanic energy budget calculations derived from satellites and Reanalysis products. The CAS Data Catalog has been archived in favor of the Climate Data Guide https://www.re3data.org/repository/r3d100012500. Please visit that website for your climate data needs and to view datasets from the CAS Data Catalog refer to the Climate Analysis Section (CAS) Data Catalog tag (https://climatedataguide.ucar.edu/collections/climate-analysis-section-cas-data-catalog) on the Climate Data Guide website.
The OpenMadrigal project seeks to develop and support an on-line database for geospace data. The project has been led by MIT Haystack Observatory since 1980, but now has active support from Jicamarca Observatory and other community members. Madrigal is a robust, World Wide Web based system capable of managing and serving archival and real-time data, in a variety of formats, from a wide range of ground-based instruments. Madrigal is installed at a number of sites around the world. Data at each Madrigal site is locally controlled and can be updated at any time, but shared metadata between Madrigal sites allow searching of all Madrigal sites at once from any Madrigal site. Data is local; metadata is shared.
SCISAT, also known as the Atmospheric Chemistry Experiment (ACE), is a Canadian Space Agency small satellite mission for remote sensing of the Earth's atmosphere using solar occultation. The satellite was launched on 12 August 2003 and continues to function perfectly. The primary mission goal is to improve our understanding of the chemical and dynamical processes that control the distribution of ozone in the stratosphere and upper troposphere, particularly in the Arctic. The high precision and accuracy of solar occultation makes SCISAT useful for monitoring changes in atmospheric composition and the validation of other satellite instruments. The satellite carries two instruments. A high resolution (0.02 cm-¹) infrared Fourier transform spectrometer (FTS) operating from 2 to 13 microns (750-4400 cm-¹) is measuring the vertical distribution of trace gases, particles and temperature. This provides vertical profiles of atmospheric constituents including essentially all of the major species associated with ozone chemistry. Aerosols and clouds are monitored using the extinction of solar radiation at 1.02 and 0.525 microns as measured by two filtered imagers. The vertical resolution of the FTS is about 3-4 km from the cloud tops up to about 150 km. Peter Bernath of the University of Waterloo is the principal investigator. A dual optical spectrograph called MAESTRO (Measurement of Aerosol Extinction in the Stratosphere and Troposphere Retrieved by Occultation) covers the 400-1030 nm spectral region and measures primarily ozone, nitrogen dioxide and aerosol/cloud extinction. It has a vertical resolution of about 1-2 km. Tom McElroy of Environment and Climate Change Canada is the principal investigator. ACE data are freely available from the University of Waterloo website. SCISAT was designated an ESA Third Party Mission in 2005. ACE data are freely available through an ESA portal.
KDP has replaced the KNMI Data Centre (KDC), which was turned off on the 27th of July 2020. Not only a change of name, but also a transition to new technologies. Initially, the KDP will be more primitive than KDC. To fulfill future ambitions, a digital KNMI transformation has been initiated. Part of this transition is the development of a new KDP as a successor of the KDC. All data on the KNMI Data Platform is free to use. For some datasets a service agreement is available, which is indicated on the page of the dataset. The KNMI Data platform provides access to KNMI data on weather, climate and seismology. Here you will find KNMI data on various subjects such as the most recent 10-minute observations, historical series, data about meteorological measuring stations, model calculations, earthquake data and satellite products. In addition to KNMI datasets, we also make datasets from other parties available, such as ECMWF, ECOMET, EUMETSAT and WMO.
EartH2Observe brings together the findings from European FP projects DEWFORA, GLOWASIS, WATCH, GEOWOW and others. It will integrate available global earth observations (EO), in-situ datasets and models and will construct a global water resources re-analysis dataset of significant length (several decades). The resulting data will allow for improved insights on the full extent of available water and existing pressures on global water resources in all parts of the water cycle. The project will support efficient and globally consistent water management and decision making by providing comprehensive multi-scale (regional, continental and global) water resources observations. It will test new EO data sources, extend existing processing algorithms and combine data from multiple satellite missions in order to improve the overall resolution and reliability of EO data included in the re-analysis dataset. The resulting datasets will be made available through an open Water Cycle Integrator data portal https://wci.earth2observe.eu/ : the European contribution to the GEOSS/WCI approach. The datasets will be downscaled for application in case-studies at regional and local levels, and optimized based on identified European and local needs supporting water management and decision making . Actual data access: https://wci.earth2observe.eu/data/group/earth2observe
EBAS is a database hosting observation data of atmospheric chemical composition and physical properties. EBAS hosts data submitted by data originators in support of a number of national and international programs ranging from monitoring activities to research projects. EBAS is developed and operated by the Norwegian Institute for Air Research (NILU). We hope the information found on the web-site is self explanatory, and we would particularly ask you to consider the text found in the data disclaimer and in the “info” pages associated to the filter criteria.
Climate Data Record (CDR) is a time series of measurements of sufficient length, consistency and continuity to determine climate variability and change. The fundamental CDRs include sensor data, such as calibrated radiances and brightness temperatures, that scientists have improved and quality-controlled along with the data used to calibrate them. The thematic CDRs include geophysical variables derived from the fundamental CDRs, such as sea surface temperature and sea ice concentration, and they are specific to various disciplines.
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The main objective of the Bolin Centre Database is to ensure the preservation, interoperability and open access of climate research data for members of the Bolin Centre for Climate Research. The Bolin Centre Database also provides expert advice and guidance on data management. The Bolin Centre itself is a multi-disciplinary consortium in Sweden that conducts research and graduate education related to the Earth´s climate, in collaboration between Stockholm University, The Swedish Meteorological and Hydrological Institute (SMHI) and the KTH Royal Institute of Technology.
The objective of this database is to stimulate the exchange of information and the collaboration between researchers within the ChArMEx community. However, this community is not exclusive and researchers not directly involved in ChArMEx, but who wish to contribute to the achievements of ChArMEx scientific and/or educational goals are welcome to join-in. The database is a depository for all the data collected during the various projects that contribute to ChArMEx coordinated program. It aims at documenting, storing and distributing the data produced or used by the project community. However, it is also intended to host datasets that were produced outside the ChArMEx program but which are meaningful to ChArMEx scientific and/or educational goals. Any data owner who wishes to add or link his dataset to ChArMEx database is welcome to contact the database manager in order to get help and support. The ChArMEx database includes past and recent geophysical in situ observations, satellite products and model outputs. The database organizes the data management and provides data services to end-users of ChArMEx data. The database system provides a detailed description of the products and uses standardized formats whenever it is possible. It defines the access rules to the data and details the mutual rights and obligations of data providers and users (see ChArMEx data and publication policy). The database is being developed jointly by : SEDOO, OMP Toulouse , ICARE, Lille and ESPRI, IPSL Paris
<<<!!!<<< The repository is no longer available. You can find the data using https://www.re3data.org/repository/r3d100010199 and searching for WATCH. Further information see: https://catalogue.ceh.ac.uk/documents/ba6e8ddd-22a9-457d-acf4-d63cd34f2dda >>>!!!>>>
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SAMD is a repository for Standardized Atmospheric Measurement Data: Central Europe is a region with one of the most comprehensive networks for cloud and precipitation observations worldwide. To unify these observations, establish the infrastructure to store it and make it accessible to the research community is the goal of SAMD. SAMD is one result of the project "High Definition of Clouds and Precipitation in advancing Climate Prediction" (HD(CP)²).
The European Monitoring and Evaluation Programme (EMEP) is a scientifically based and policy driven programme under the Convention on Long-range Transboundary Air Pollution (CLRTAP) for international co-operation to solve transboundary air pollution problems.
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Australian Ocean Data Network (AODN) provides data collected by the Australian marine community. AODN's data is searchable via map interface and metadata catalogue. AODN is Australia's exhaustive repository for marine and climate data. AODN has merged with IMOS eMarine Information Infrastructure (eMII) Facility in May 2016. IMOS is a multi-institutional collaboration with a focus on open data access. It is ideally placed to manage the AODN on behalf of the Australian marine and climate community.