Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
42
datasets available to search
ShareScore release 0.9.0
Dataset results
42 results for “ECMWF”
Wind gust during tropical cyclone Ida, with and without deep convection parametrization from 1.4km global simulation with ECMWF IFS
<p>Animations of wind gust during tropical cyclone Ida, from global TCo7999L137 (1.4km horizontal grid-spacing) simulation with hydrostatic IFS from INCITE2022 project. </p> <p>One animation shows simulation with deep convection parametrization on and the other with off.</p>
Gridded forecast data over the Mediterranean and the North Sea from ECMWF models
<p>Gridded forecast data over the Mediterranean and the North Sea from ECMWF used in Cavaleri et al JGR 2023</p>
CHE_EDGAR-ECMWF_2015
<p>The new CHE_EDGAR-ECMWF_2015 dataset with anthropogenic fossil CO<sub>2</sub> emissions and their uncertainties and with a new 7×7 covariance matrix for the atmospheric transport model was compiled and tested. The fossil CO<sub>2 </sub>emissions include all long-cycle carbon emissions from human activities, such as fossil fuel combustion, industrial processes (e.g. cement) and products use, but excludes emissions from land-use change and forestry. Human CO<sub>2 </sub>emission inventories were processed into gridded maps to provide an estimate of prior CO<sub>2</sub> emissions, aggregated in 7 main emissions groups: 1) energy production super-emitters, 2) energy production standard-emitters, 3) manufacturing, 4) settlements, 5) aviation, 6) other transport at ground level and 7) others, with estimation of their uncertainty and covariance. For the first implementation it is assumed that each emission group is fully correlated with itself and fully uncorrelated with any other group (only diagonal values are non-zero and equal to log-normal variance).</p> <p>The CHE_EDGAR-ECMWF_2015 represents the 2015 global fossil CO<sub>2</sub> emissions prior at 0.1º×0.1º resolution that has been for the first time to our knowledge bridging the inventory community and the atmospheric modelling community. In fact, the uncertainty calculations fully respect the detailed error propagation approach recommended by IPCC (2006) guidelines for GHG inventories while these datasets as prior input were processed such that the uncertainty information could be fully taken up by the ECMWF model IFS. Estimation of emission uncertainties is purely based on IPCC (2006) and IPCC-TFI (2019) emission factor and activity data uncertainty values and assumptions – mainly that emissions are fully uncorrelated. Uncertainties related to the spatial distribution (representativeness of the proxy data and their uncertainty) were not assessed in this study, but they can be included by the user on top of the calculated emission uncertainties. All calculations, performed for the year 2015, are documented so that the methodology and algorithms used can be easily adapted for any other year. The dataset can be directly used in inverse modelling, and ensemble data assimilation applications, such as those envisaged within the Copernicus Atmosphere Monitoring Service (CAMS) system.</p> <p>CHE_EDGAR-ECMWF_2015 consists of 11 global NetCDF files with gridded yearly and monthly upper and lower bounds of uncertainties in % and kg·m<sup>-2</sup>·s<sup>-1</sup> per each ECMWF group and their sum, and 1 Excel file with 16 spreadsheets with the same information listed per country (metadata, emissions, uncertainties, statistical parameters).</p> <p>Calculated emissions and uncertainties of fossil CO<sub>2</sub> have been compared to other data sets based on the country-specific data reported to UNFCCC and on fuel-specific data reported in the energy statistics of IEA. The global values and their uncertainty at a 2<em>σ</em> range for the CHE_EDGAR-ECMWF_2015 dataset show the lowest value of -4.7/+9.6 % or ±7.1 % range due to the methodology used. At country level the CHE_EDGAR-ECMWF_2015 dataset provides generally larger uncertainty ranges, that are reduced when more detailed information is available to reduce the uncertainties; in summary, using the information that is uniformly available for all countries a coherent uncertainty representation is obtained.</p> <p>The CHE_EDGAR-ECMWF_2015 dataset has been tested to provide the ECMWF Earth system ensemble spread to characterise the CO<sub>2</sub> atmospheric concentrations’ uncertainties in the prototype of the Copernicus CO<sub>2</sub> Monitoring and Verification Support Capacity. Annual and monthly uncertainties have been evaluated in the ECMWF’s atmospheric transport model IFS ensemble simulations as well as the sensitivity to the spatial distribution of anthropogenic CO<sub>2</sub> emissions (McNorton et al., 2020). Results show to be rather sensitive to the spatial distribution proxies, and most updated proxies and prior uncertainties are better adapted for data assimilation applications. This needs to be studied in a future research project, the Prototype system for a Copernicus CO<sub>2</sub> service (CoCO<sub>2</sub>), that follows the current CHE research project.</p> <p>Contribution of representativeness errors to uncertainties and time correlation are neglected in CHE_EDGAR-ECMWF_2015 and will need to be assessed in successive future studies. The estimation of global gridded emissions with their spatially and temporally distributed uncertainties constitute the backbone for atmospheric inversions to estimate anthropogenic emissions from atmospheric concentrations (Pinty et al., 2017). Dedicated satellite missions (e.g. Copernicus anthropogenic CO<sub>2</sub> monitoring mission CO<sub>2</sub>M described in Janssens-Maenhout et al. (2020)) are being planned to monitor anthropogenic emissions from space and substantially reduce emission uncertainties. The developments in the emission uncertainty based on prior knowledge computation presented in this paper is an important preparatory step for an ensemble-based CO<sub>2</sub> Monitoring and Verification System prototype, such as the one developed within the CHE project.</p>
An example of ECMWF Deterministic Model analysis data for DYNAMO
<p>The full dataset is hosted by Earth Observing Laboratory at the National Center for Atmospheric Research. This is only one example used to compute momentum budget associated with the Madden-Julian Oscillation during DYNAMO. </p>
ECMWF operational analysis data for driven the WRF model in HRB
<p>All the ECMWF operational analysis data forcing data (2008-2012) related to the thesis (<a href="https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/deliver/index/docId/81907/file/PhD_Zhang.pdf">https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/deliver/index/docId/81907/file/PhD_Zhang.pdf</a>)</p> <p> </p> <p> </p>
ECMWF IFS potential salinity and temperature data interpolated to ALAMO float positions. Results of tropical cyclone tracking algorithm for TC Irma, Florence, Teddy and Ida simulations with ECMWF IFS.
<p>ECMWF IFS potential salinity and temperature data interpolated to ALAMO float positions. The data is from forecasts of tropical cyclone Irma, Florence, Teddy and Ida performed at horizontal atmosphere resolutions of TCo1279, TCo2559, TCo3999, TCo7999 and ocean resolutions of eORCA025 and eORCA025.</p> <p> </p> <p>Data also contains the results of tracking these tropical cyclones in the ECMWF IFS simulations. </p>
Forecasting Capability Verification of the Pangu-Weather and ECMWF Models for the 2022 Summer Weather in Jiangsu Province, China
Open the record for dataset details and reuse information.
ECMWF real-time forecast MJO RMMs and observations
<p>This data is downloaded from https://confluence.ecmwf.int/display/S2S/Tools#Tools-MJORMMsindices</p> <p> </p> <p>The data is only used for research purpose. If you have any question about this data, please contact the ECMWF directly.</p>
Global ECMWF Fire Forecasting system - sample data for wildfires in Siberia on 23-25 July 2019
<p>The European Centre for Medium-Range Weather Forecasts (<a href="https://www.ecmwf.int/">ECMWF</a>) produces daily fire danger forecasts and reanalysis products from the Global ECMWF Fire Forecast (<a href="https://git.ecmwf.int//projects/CEMSF/repos/geff/browse">GEFF</a>) model. Reanalysis is available through the Copernicus Climate Data Store (<a href="https://cds.climate.copernicus.eu/cdsapp#%21/dataset/cems-fire-historical">CDS</a>) while the medium-range real-time forecast is available through the <a href="https://effis.jrc.ec.europa.eu/static/effis_current_situation/public/index.html">EFFIS</a> and <a href="https://gwis.jrc.ec.europa.eu/static/gwis_current_situation/public/index.html">GWIS</a> platforms.</p> <p>This repository provides FWI sample datasets for the assessment of the Siberian wildfires occurred on 23-25 July 2019:</p> <ul> <li> <p>GEFF-reanalysis, which provides historical records of fire danger conditions</p> <ul> <li> <p>e5_hr, this folder contains deterministic model outputs</p> </li> <li> <p>e5_en, this folder contains probabilistic model outputs (made of 10 ensemble members)</p> </li> </ul> </li> <li> <p>GEFF-realtime provides real-time forecasts generated using weather forcings from the model cycle 46r1 of the ECMWF’s Integrated Forecasting System (IFS).</p> <ul> <li> <p>rt_hr, this folder contains high-resolution deterministic forecasts (~9 Km)</p> </li> <li> <p>rt_en, this folder contains probabilistic forecasts (~18Km)</p> </li> </ul> </li> <li> <p>Geographical bounding box: lon_min = 40, lon_max = 180, lat_min = -10, lat_max = 90</p> </li> </ul> <p><strong>Please note, the sample data provided in this repository is intended to be used for education purposes only (e.g. training courses).</strong></p> <p>These products have been developed as part of the EU-funded Copernicus Emergency Management Services (<a href="https://emergency.copernicus.eu/">CEMS</a>) and complement other Copernicus products related to fire, such as the biomass-burning emissions made available by the Copernicus Atmosphere Monitoring Service (<a href="https://atmosphere.copernicus.eu/">CAMS</a>). The development of the GEFF modelling system was funded through a third-party agreement with the European Commission’s Joint Research Centre (<a href="https://ec.europa.eu/info/departments/joint-research-centre_en">JRC</a>). </p> <p>GEFF produces fire danger indices based on the Canadian Fire Weather index as well as the US and Australian fire danger models. GEFF datasets are under the Copernicus license, which provides users with free, full and open access to environmental data.</p> <p>For more information, please refer to the documentation on the <a href="http://datastore.copernicus-climate.eu/c3s/published-forms/c3sprod/cems-fire-historical/Fire_In_CDS.pdf">CDS</a> and on the <a href="https://effis.jrc.ec.europa.eu/about-effis/technical-background/fire-danger-forecast/">EFFIS website</a>.</p>
ECMWF operational analysis transformed to netcdf format
<p>Example: ECMWF operational analysis transformed to netcdf format</p>
High cloudiness data for the comparison between ECMWF and CALIOP
<p>high cloudiness over South China sea</p>
LBA-HMET PC-06 ECMWF Modeled Precipitation and Surface Flux, Rondonia, Brazil: 1999
This data set provides the mean diurnal cycle of precipitation, near-surface thermodynamics, and surface fluxes generated from short-term forecasts from the European Centre for Medium-Range Weather Forecasts (ECMWF) model.The model outputs were 12- to 36-hour short-range forecasts, run at a triangular truncation of T319 and a vertical resolution of 60 levels, from each daily 1200 (UTC) analysis. The version of the forecast model used to prepare this data product was the operational ECMWF model in fall 2000, which included the tiled land-surface scheme (TESSEL) (Van den Hurk et al., 2000) and recent revisions to the convection, radiation, and cloud schemes described by Gregory et al., (2000). The ECMWF model was run for two Large-Scale Biosphere-Atmosphere Experiment in Amazonia (LBA) campaigns conducted in Rondonia, Brazil, during January and February of 1999: the Wet Season Atmospheric Mesoscale Campaign (WETAMC) and the Tropical Rainfall Measuring Mission (TRMM). See Silva Dias et al.,(2002) for additional information regarding the WETAMAC and TRMM campaigns. There are two comma-delimited data files with this data set: the ECMWF model output data and a file containing the mean hourly precipitation observations used to check the model output for biases.
ISLSCP II ECMWF Near-Surface Meteorology Parameters
This data set for the ISLSCP Initiative II data collection provides meteorology data with fixed, monthly, monthly-6-hourly, 6-hourly, and 3-hourly temporal resolutions. The data were derived from the European Centre for Medium-range Weather Forecasts (ECMWF) near-surface meteorology data set, 40-year re-analysis, or ERA-40 (Simmons and Gibson, 2000), which covers the years 1957 to 2001. The data were processed onto the ISLSCP II Earth grid with a spatial resolution of 1-degree in both latitude and longitude, and span the common ISLSCP II period from 1986 to 1995.The ECMWF forecast system is called the Integrated Forecasting System (IFS) and was developed in co-operation with Meteo-France. For ERA40 it is used with 60 levels from the top of the model at 10 Pa to the lowest level at about 10 m above the surface. There are 46 compressed (.tar.gz) data files with this data set. Each uncompressed file contains space-delimited text (.asc) data files.
BOREAS AFM-08 ECMWF Hourly Surface and Upper Air Data for the SSA and NSA
The BOREAS AFM-08 team focused on modeling efforts to improve the understanding of the diurnal evolution of the convective boundary layer over the boreal forest. This data set contains hourly data from the ECMWF operational model from below the soil surface to the top of the atmosphere, including the model fluxes at the surface. Spatially, the data cover a pair of the points that enclose the rawinsonde sites at Candle Lake, Saskatchewan, in the SSA and Thompson, Manitoba, in the NSA. Temporally, the data include the two time periods of 13-May-1994 to 30-Sept-1994 and 01-Mar-1996 to 31-Mar-1997.
First ISCCP Regional Experiment (FIRE) Atlantic Stratocumulus Transition Experiment (ASTEX) ECMWF Cloud Data
A special set of analysis products for the Atlantic Stratocumulus Transition Experiment (ASTEX) region during June 1-28, 1992 was prepared by Ernst Klinker and Tony Hollingsworth of the European Centre for Medium-range Forecasting (ECMWF), and reformatted by Chris Bretherton of Univ. of Washington. These analyses, or more correctly initializations and very short range forecasts using the ECMWF T213L30 operational model, incorporate routine observations from the global network and special soundings from ASTEX that were sent to ECMWFduring ASTEX via the GTS telecommunication system. About 650 special soundings were incorporated, including nearly all soundings from SantaMaria, Porto Santo, and the French ship Le Suroit, most of the soundings taken on the Valdivia and Malcolm Baldridge, and almost noneof the soundings from the Oceanus. Surface reports from the research ships were also incorporated into the analyses after the first week of the experiment. Aircraft soundings were not included in the analyses. ECMWF has requested that anyone making use of this data set acknowledge them, and that those investigators publishing research that makes more than casual use of this data set contact Ernst Klinker or Tony Hollingsworth.The data have been decoded by Chris Bretherton into ASCII files, one for each horizontal field at a given level and base time. All data have the same horizontal resolution of 1.25 degrees in latitude and longitude and correspond to base (initialization) times of 00, 06, 12, or 18Z. Different fields have different lat/lon ranges and sets of available vertical levels, as tabulated below. Also, some fields are instantaneous (I) while others are accumulated (A) over the first 6 hours of a forecast initialized at the base time. This is tabulated in the 'time range' column below. Instantaneous fields are bestcompared with data at the base time, while accumulated fields are best compared with data three hours after the base time.Data Set Name ECMWF ECMWF Time Field Units field ID# range abbrev.----------- ------ ----- ----- ----- -----CLOUDS CLW 212 I Cloud liquid water kg/kg CF 213 I Cloud fraction 0-1(lat/lon range: 35W to 05W, 20N to 45N)(levels: 1010,1000,975,950,925,900,875,850,825,800,775,750,700,650,600,550,500,400,300,200,100 HPa)The ECMWF field abbreviation, ID#, field description and units aretaken directly from ECMWF Code Table 2, in case you ever need toconsult with ECMWF about this data set.
First ISCCP Regional Experiment (FIRE) Atlantic Stratocumulus Transition Experiment (ASTEX) ECMWF Mean Velocity Data
A special set of analysis products for the Atlantic Stratocumulus Transition Experiment (ASTEX) region during June 1-28, 1992 was prepared by Ernst Klinker and Tony Hollingsworth of the European Centre for Medium-range Forecasting (ECMWF), and reformatted by Chris Bretherton of Univ. of Washington. These analyses, or more correctly initializations and very short range forecasts using the ECMWF T213L30 operational model, incorporate routine observations from the global network and special soundings from ASTEX that were sent to ECMWFduring ASTEX via the GTS telecommunication system. About 650 special soundings were incorporated, including nearly all soundings from Santa Maria, Porto Santo, and the French ship Le Suroit, most of the soundings taken on the Valdivia and Malcolm Baldridge, and almost none of the soundings from the Oceanus. Surface reports from the research ships were also incorporated into the analyses after the first week of the experiment. Aircraft soundings were not included in the analyses. ECMWF has requested that anyone making use of this data set acknowledge them, and that those investigators publishing researchthat makes more than casual use of this data set contact Ernst Klinker or Tony Hollingsworth.The data have been decoded by Chris Bretherton into ASCII files, one for each horizontal field at a given level and base time. All data have the same horizontal resolution of 1.25 degrees in latitude and longitude and correspond to base (initialization) times of 00, 06, 12, or 18Z. Different fields have different lat/lon ranges and sets of available vertical levels, as tabulated below. Also, some fields are instantaneous (I) while others are accumulated (A) over the first 6 hours of a forecast initialized at the base time. This is tabulated in the 'time range' column below. Instantaneous fields are bestcompared with data at the base time, while accumulated fields are best compared with data three hours after the base time.Data Set Name ECMWF ECMWF Time Field Units field ID# range abbrev.----------- ------ ----- ----- ----- -----MEANW MVV 232 A Mean vertical velocity Pa/s(lat/lon range: 85W to 15E, 70N to 10N)(levels: 1010,1000,975,950,925,900,875,850,825,800,775,750,700,650,600,550,500,400,300,200,100 hPa)The ECMWF field abbreviation, ID#, field description and units aretaken directly from ECMWF Code Table 2, in case you ever need toconsult with ECMWF about this data set.
First ISCCP Regional Experiment (FIRE) Atlantic Stratocumulus Transition Experiment (ASTEX) ECMWF Surface Data
A special set of analysis products for the Atlantic Stratocumulus Transition Experiment (ASTEX) region during June 1-28, 1992 was prepared by Ernst Klinker and Tony Hollingsworth of the European Centre for Medium-range Forecasting (ECMWF), and reformatted by Chris Bretherton of Univ. of Washington. These analyses, or more correctly initializations and very short range forecasts using the ECMWF T213L30 operational model, incorporate routine observations from the global network and special soundings from ASTEX that were sent to ECMWFduring ASTEX via the GTS telecommunication system. About 650 special soundings were incorporated, including nearly all soundings from Santa Maria, Porto Santo, and the French ship Le Suroit, most of the soundings taken on the Valdivia and Malcolm Baldridge, and almost none of the soundings from the Oceanus. Surface reports from the research ships were also incorporated into the analyses after the first week of the experiment. Aircraft soundings were not included in the analyses. ECMWF has requested that anyone making use of this data set acknowledge them, and that those investigators publishing researchthat makes more than casual use of this data set contact Ernst Klinker or Tony Hollingsworth.The data have been decoded by Chris Bretherton into ASCII files, one for each horizontal field at a given level and base time. All data have the same horizontal resolution of 1.25 degrees in latitude andlongitude and correspond to base (initialization) times of 00, 06, 12, or 18Z. Different fields have different lat/lon ranges and sets of available vertical levels, as tabulated below. Also, some fields are instantaneous (I) while others are accumulated (A) over the first 6 hours of a forecast initialized at the base time. This is tabulated in the 'time range' column below. Instantaneous fields are bestcompared with data at the base time, while accumulated fields are best compared with data three hours after the base time.Data Set Name ECMWF ECMWF Time Field Units field ID# range abbrev.----------- ------ ----- ----- ----- -----SURFACE SP 134 I Surface pressure Pa ST 139 I [Sea] surface temperature K(lat/lon range: 85W to 15E, 70N to 10N; at surface pressure)The ECMWF field abbreviation, ID#, field description and units are taken directly from ECMWF Code Table 2, in case you ever need to consult with ECMWF about this data set.
First ISCCP Regional Experiment (FIRE) Atlantic Stratocumulus Transition Experiment (ASTEX) ECMWF Diagnostics
A special set of analysis products for the Atlantic Stratocumulus Transition Experiment (ASTEX) region during June 1-28, 1992 was prepared by Ernst Klinker and Tony Hollingsworth of the European Centre for Medium-range Forecasting (ECMWF), and reformatted by Chris Bretherton of Univ. of Washington. These analyses, or more correctly initializations and very short range forecasts using the ECMWF T213L30 operational model, incorporate routine observations from the global network and special soundings from ASTEX that were sent to ECMWFduring ASTEX via the GTS telecommunication system. About 650 special soundings were incorporated, including nearly all soundings from Santa Maria, Porto Santo, and the French ship Le Suroit, most of the soundings taken on the Valdivia and Malcolm Baldridge, and almost none of the soundings from the Oceanus. Surface reports from the research ships were also incorporated into the analyses after the first week of the experiment. Aircraft soundings were not included in the analyses. ECMWF has requested that anyone making use of this data set acknowledge them, and that those investigators publishing researchthat makes more than casual use of this data set contact Ernst Klinker or Tony Hollingsworth.The data have been decoded by Chris Bretherton into ASCII files, one for each horizontal field at a given level and base time. All data have the same horizontal resolution of 1.25 degrees in latitude and longitude and correspond to base (initialization) times of 00, 06, 12, or 18Z. Different fields have different lat/lon ranges and sets of available vertical levels, as tabulated below. Also, some fields are instantaneous (I) while others are accumulated (A) over the first 6 hours of a forecast initialized at the base time. This is tabulated in the 'time range' column below. Instantaneous fields are bestcompared with data at the base time, while accumulated fields are best compared with data three hours after the base time.Data Set Name ECMWF ECMWF Time Field Unitsfield ID# rangeabbrev.------------ ------ ----- ----- ----- -----DIAGNOSTIC DHR 214 A Diabatic heating by radiation K/sDHVD 215 A Diab. heat. by vert. diffusion K/sDHCC 216 A Diab. heat. by cu. convection K/sDHLC 217 A Diab. heat. by lg-scale condens.K/sVDZW 218 A Vert. diffusion of zonal wind m^2/s^3VDMW 219 A Vert. diffusion of meri. wind m^2/s^3EWGD 220 A E-W gravity wave drag m^2/s^3NSGD 221 A N-S gravity wave drag m^2/s^3CTZW 222 A Convective tend. of zonal wind m^2/s^3CTMW 223 A Convective tend. of meri. wind m^2/s^3VDH 224 A Vertical diffusion of humidity kg/(kg s)HTCC 225 A Humid. tend. by cu. convection kg/(kg s)HTLC 226 A Humid. tend. by lg-scale cond. kg/(kg s)ATT 228 A Adiabatic tend. of temperature K/sATH 229 A Adiabatic tend. of humidity kg/(kg s)ATZW 230 A Adiabatic tend. of zonal wind m/s^2ATMW 231 A Adiabatic tend. of meri. wind m/s^2232 A(lat/lon range: 35W to 05W, 20N to 45N)(levels: 1010,1000,975,950,925,900,875,850,825,800,775,750,700)The ECMWF field abbreviation, ID#, field description and units are taken directly from ECMWF Code Table 2, in case you ever need to consult with ECMWF about this data set.
First ISCCP Regional Experiment (FIRE) Atlantic Stratocumulus Transition Experiment (ASxTEX) ECMWF Basic Fields Data
A special set of analysis products for the Atlantic Stratocumulus Transition Experiment (ASTEX) region during June 1-28, 1992 was prepared by Ernst Klinker and Tony Hollingsworth of the European Centre for Medium-range Forecasting (ECMWF), and reformatted by Chris Bretherton of Univ. of Washington. These analyses, or more correctly initializations and very short range forecasts using the ECMWF T213L30 operational model, incorporate routine observations from the global network and special soundings from ASTEX that were sent to ECMWFduring ASTEX via the GTS telecommunication system. About 650 special soundings were incorporated, including nearly all soundings from Santa Maria, Porto Santo, and the French ship Le Suroit, most of the soundings taken on the Valdivia and Malcolm Baldridge, and almost none of the soundings from the Oceanus. Surface reports from the research ships were also incorporated into the analyses after the first week of the experiment. Aircraft soundings were not included in the analyses. ECMWF has requested that anyone making use of this data set acknowledge them, and that those investigators publishing researchthat makes more than casual use of this data set contact Ernst Klinker or Tony Hollingsworth.The data have been decoded by Chris Bretherton into ASCII files, one for each horizontal field at a given level and base time. All data have the same horizontal resolution of 1.25 degrees in latitude and longitude and correspond to base (initialization) times of 00, 06, 12, or 18Z. Different fields have different lat/lon ranges and sets of available vertical levels, as tabulated below. Also, some fields are instantaneous (I) while others are accumulated (A) over the first 6 hours of a forecast initialized at the base time. This is tabulated in the 'time range' column below. Instantaneous fields are bestcompared with data at the base time, while accumulated fields are best compared with data three hours after the base time.Data Set Name ECMWF ECMWF Time Field Units Field ID# range Abbrev.------------- ------ ----- ----- ----- -----BASIC Z 129 I Geopotential m^2/s^2 T 130 I Temperature K Q 133 I Specific humidity kg/kg U 131 I U[ eastward]-velocity m/s V 132 I V[northward]-velocity m/s W 135 I Vertical velocity Pa/s(lat/lon range: 85W to 15E, 70N to 10N)(levels: 1010,1000,975,950,925,900,875,850,825,800,775,750,700,650,600,550,500,400,300,200,100 hPa)The ECMWF field abbreviation, ID#, field description and units are taken directly from ECMWF Code Table 2, in case you ever need to consult with ECMWF about this data set.
First ISCCP Regional Experiment (FIRE) Atlantic Stratocumulus Transition Experiment (ASTEX) ECMWF Surface Diagnostics
A special set of analysis products for the Atlantic Stratocumulus Transition Experiment (ASTEX) region during June 1-28, 1992 was prepared by Ernst Klinker and Tony Hollingsworth of the European Centre for Medium-range Forecasting (ECMWF), and reformatted by Chris Bretherton of Univ. of Washington. These analyses, or more correctly initializations and very short range forecasts using the ECMWF T213L30 operational model, incorporate routine observations from the global network and special soundings from ASTEX that were sent to ECMWFduring ASTEX via the GTS telecommunication system. About 650 special soundings were incorporated, including nearly all soundings from Santa Maria, Porto Santo, and the French ship Le Suroit, most of the soundings taken on the Valdivia and Malcolm Baldridge, and almost none of the soundings from the Oceanus. Surface reports from the research ships were also incorporated into the analyses after the first week of the experiment. Aircraft soundings were not included in the analyses. ECMWF has requested that anyone making use of this data set acknowledge them, and that those investigators publishing researchthat makes more than casual use of this data set contact Ernst Klinker or Tony Hollingsworth.The data have been decoded by Chris Bretherton into ASCII files, one for each horizontal field at a given level and base time. All data have the same horizontal resolution of 1.25 degrees in latitude and longitude and correspond to base (initialization) times of 00, 06, 12, or 18Z. Different fields have different lat/lon ranges and sets of available vertical levels, as tabulated below. Also, some fields are instantaneous (I) while others are accumulated (A) over the first 6 hours of a forecast initialized at the base time. This is tabulated in the 'time range' column below. Instantaneous fields are bestcompared with data at the base time, while accumulated fields are bestcompared with data three hours after the base time.Data Set Name ECMWF ECMWF Time Field Units field ID# range abbrev.----------- ------ ----- ----- ----- -----SURFACE DIAG LSP 142 A Large scale precipitation m/(6 hr) CP 143 A Convective precipitation m/(6 hr) BLD 145 A Boundary layer dissipation W/m^2 SSHF 146 A Surface sensible heat flux W/m^2 SLHF 147 A Surface latent heat flux W/m^2 TCC 164 I Total cloud cover 0-1 10U 165 I 10 meter u m/s 10V 166 I 10 meter v m/s 2T 167 I 2 meter temperature K 2D 168 I 2 meter dewpoint temperature K SSR 176 A Surface solar radiation W/m^2 STR 177 A Surface thermal radiation W/m^2 TSR 178 A Top solar radiation W/m^2 TTR 179 A Top thermal radiation W/m^2 EWSS 180 A U-stress N/m^2 NSSS 181 A V-stress N/m^2 E 182 A Evaporation m (H2O) CCC 185 I Convective cloud cover 0-1 LCC 186 I Low cloud cover 0-1 MCC 187 I Medium cloud cover 0-1 HCC 188 I High cloud cover 0-1 TSRU 208 I Top solar radiation upward W/m^2 TTRU 209 I Top thermal radiation upward W/m^2 TSUC 210 I Top solar radiation upward clear sky(lat/lon range: 35W to 05W, 20N to 45N; at surface pressure)The ECMWF field abbreviation, ID#, field description and units are taken directly from ECMWF Code Table 2, in case you ever need to consult with ECMWF about this data set.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.