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708 results for “Temperature, air”
Air-temperature at 10-m
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GPRChinaTemp1km: 1 km monthly maximum air temperature for China from January 1951 to December 2020
<p>GPRChinaTemp1km is a new high-resolution (1-km) monthly gridded air temperature dataset for China from January 1951 to December 2020. The dataset includes monthly maximum air temperature covering the main land area of China during 1951-2020, which was interpolated by the Gaussian process regression (GPR) method based on the meteorological station data. The monthly gridded temperature dataset was evaluated by the observed values of the meteorological stations from the China Meteorological Data Service Centre. The dataset is in GeoTIFF format in the WGS84 (EPSG:4326) coordinate system. The unit of the data is degree Celsius (°C).</p>
GPRChinaTemp1km: 1 km monthly mean air temperature for China from January 1951 to December 2020
<p>GPRChinaTemp1km is a new high-resolution (1-km) monthly gridded air temperature dataset for China from January 1951 to December 2020. The dataset includes monthly mean air temperature covering the main land area of China during 1951-2020, which was interpolated by the Gaussian process regression (GPR) method based on the meteorological station data. The monthly gridded temperature dataset was evaluated by the observed values of the meteorological stations from the China Meteorological Data Service Centre. The dataset is in GeoTIFF format in the WGS84 (EPSG:4326) coordinate system. The unit of the data is degree Celsius (°C).</p>
GPRChinaTemp1km: 1 km monthly minimum air temperature for China from January 1951 to December 2020
<p>GPRChinaTemp1km is a new high-resolution (1-km) monthly gridded air temperature dataset for China from January 1951 to December 2020. The dataset includes monthly minimum air temperature covering the main land area of China during 1951-2020, which was interpolated by the Gaussian process regression (GPR) method based on the meteorological station data. The monthly gridded temperature dataset was evaluated by the observed values of the meteorological stations from the China Meteorological Data Service Centre. The dataset is in GeoTIFF format in the WGS84 (EPSG:4326) coordinate system. The unit of the data is degree Celsius (°C).</p> <p> </p>
A long-term (1981-2020) 1-km daily extreme and mean near surface air temperature product over Yellow River Basin of China
<p>The dataset includes the semless 1-km daily extreme and mean near surface air temperature products over Yellow River Basin of China. The fourth version is from 1 January 2011 to 31 Decmber 2020.</p>
Equilibrium climate sensitivity experiments using EC-Earth3-LR model — Surface Air Temperature data
<p>Three experiments was conducted using a EC-Earth model with the EC-Earth3-LR configuration (REF), which couples atmosphere, land, ocean and sea-ice components. First, we performed a pre-industrial (PI) control simulation (E280) using pre-industrial forcing, holding atmospheric constituents constant at 1850 levels (e.g., CO<sub>2</sub> concentration at 280 ppm). This simulation was initialized by a pre-run steady restart file (from a 500-year pre-industrial control simulation) and ran for 2000 years. We also conducted two sensitivity experiments (E400 and E560) by adjusting the CO<sub>2</sub> concentration to 400 ppm and 560 ppm, respectively, at the start year of the E280 experiment, and continued for over 3000 years (3069 years for E400, and 3013 years for E560). For our statistical analysis, we only considered the integration periods after the spin-up, using the last 2000-year outputs from the three simulations.</p> <p>The dataset contains Earth system model results from EC-Earth3 presented in the study by Cao et al. (2023).</p> <p>Cao, N., Zhang, Q., Wang, Z., Power, K.E., & Liu, C. (2023). The non-negligible impact of internal multi-centennial climate variability on estimating equilibrium climate change. Submitted to <em>Geophysical Research Letters</em>.</p> <p> </p> <p><strong>Model configuration</strong><br> Time periods: 2000-year time slice for all three experiments<br> ESM configuration: EC-Earth3-LR<br> Horizontal resolution: ~1.125° (~125 km)</p> <p><strong>Available data</strong><br> Annual mean data for Surface Air Temperature data.</p>
Great Basin National Park, NV air temperature and relative humidity
<p><span class="TextRun SCXW69589011 BCX0"><span class="NormalTextRun SCXW69589011 BCX0">Hourly air temperature and relative humidity data has been collected </span><span class="NormalTextRun SCXW69589011 BCX0">from a network of</span><span class="NormalTextRun SCXW69589011 BCX0"> 29 </span><span class="NormalTextRun SCXW69589011 BCX0">data-logging sensors </span><span class="NormalTextRun SCXW69589011 BCX0">installed within</span><span class="NormalTextRun SCXW69589011 BCX0"> radiation shields </span><span class="NormalTextRun SCXW69589011 BCX0">~</span><span class="NormalTextRun SCXW69589011 BCX0">1.5 m above ground level</span> <span class="NormalTextRun SCXW69589011 BCX0">at</span><span class="NormalTextRun SCXW69589011 BCX0"> discrete </span><span class="NormalTextRun SCXW69589011 BCX0">sites </span><span class="NormalTextRun SCXW69589011 BCX0">within the Great Basin National Park</span><span class="NormalTextRun SCXW69589011 BCX0"> (GBNP)</span><span class="NormalTextRun SCXW69589011 BCX0">, NV, USA</span><span class="NormalTextRun SCXW69589011 BCX0"> from August 2006 to August 20</span><span class="NormalTextRun SCXW69589011 BCX0">2</span><span class="NormalTextRun SCXW69589011 BCX0">3.</span> <span class="NormalTextRun SCXW69589011 BCX0">The</span><span class="NormalTextRun SCXW69589011 BCX0"> sensors are</span><span class="NormalTextRun SCXW69589011 BCX0"> "embedded</span><span class="NormalTextRun SCXW69589011 BCX0">" –</span><span class="NormalTextRun SCXW69589011 BCX0"> suspended in trees or atop wooden stakes – </span><span class="NormalTextRun SCXW69589011 BCX0">within </span><span class="NormalTextRun SCXW69589011 BCX0">diverse</span><span class="NormalTextRun SCXW69589011 BCX0"> ecosystem</span><span class="NormalTextRun SCXW69589011 BCX0"> types</span><span class="NormalTextRun SCXW69589011 BCX0"> spanning over </span><span class="NormalTextRun AdvancedProofingIssueV2Themed SCXW69589011 BCX0">2,000</span> <span class="NormalTextRun AdvancedProofingIssueV2Themed SCXW69589011 BCX0">m</span><span class="NormalTextRun SCXW69589011 BCX0"> of </span><span class="NormalTextRun ContextualSpellingAndGrammarErrorV2Themed SCXW69589011 BCX0">elevation</span><span class="NormalTextRun ContextualSpellingAndGrammarErrorV2Themed SCXW69589011 BCX0">,</span><span class="NormalTextRun ContextualSpellingAndGrammarErrorV2Themed SCXW69589011 BCX0"> and</span> <span class="NormalTextRun SCXW69589011 BCX0">are </span><span class="NormalTextRun SCXW69589011 BCX0">m</span><span class="NormalTextRun SCXW69589011 BCX0">aintained</span><span class="NormalTextRun SCXW69589011 BCX0">/</span><span class="NormalTextRun SCXW69589011 BCX0">downloaded during</span> <span class="NormalTextRun SCXW69589011 BCX0">annual visitations by </span><span class="NormalTextRun SCXW69589011 BCX0">collaborating </span><span class="NormalTextRun SCXW69589011 BCX0">teams of </span><span class="NormalTextRun SCXW69589011 BCX0">students and staff from </span><span class="NormalTextRun SCXW69589011 BCX0">the Ohio State University</span><span class="NormalTextRun SCXW69589011 BCX0">,</span> <span class="NormalTextRun SCXW69589011 BCX0">University of Georgia, and Sinclair </span><span class="NormalTextRun SCXW69589011 BCX0">Community College, </span><span class="NormalTextRun SCXW69589011 BCX0">a</span><span class="NormalTextRun SCXW69589011 BCX0">ssisted</span> <span class="NormalTextRun SCXW69589011 BCX0">by GBNP</span><span class="NormalTextRun SCXW69589011 BCX0"> staff</span><span class="NormalTextRun SCXW69589011 BCX0">.</span><span class="NormalTextRun SCXW69589011 BCX0"> </span> <span class="NormalTextRun SCXW69589011 BCX0">T</span><span class="NormalTextRun SCXW69589011 BCX0">his dataset can be </span><span class="NormalTextRun SCXW69589011 BCX0">u</span><span class="NormalTextRun SCXW69589011 BCX0">tilized</span> <span class="NormalTextRun SCXW69589011 BCX0">to </span><span class="NormalTextRun SCXW69589011 BCX0">assess the</span> <span class="NormalTextRun SCXW69589011 BCX0">microclimates</span><span class="NormalTextRun SCXW69589011 BCX0"> and weather patterns</span> <span class="NormalTextRun SCXW69589011 BCX0">within the </span><span class="NormalTextRun SCXW69589011 BCX0">GBNP</span><span class="NormalTextRun SCXW69589011 BCX0">.</span> <span class="NormalTextRun SCXW69589011 BCX0">Th</span><span class="NormalTextRun SCXW69589011 BCX0">e</span><span class="NormalTextRun SCXW69589011 BCX0"> dataset </span><span class="NormalTextRun SCXW69589011 BCX0">comprises</span><span class="NormalTextRun SCXW69589011 BCX0"> daily mean, maximum, and minimum </span><span class="NormalTextRun SCXW69589011 BCX0">temperature</span><span class="NormalTextRun SCXW69589011 BCX0"> and relative humidity </span><span class="NormalTextRun SCXW69589011 BCX0">collect</span><span class="NormalTextRun SCXW69589011 BCX0">ed</span><span class="NormalTextRun SCXW69589011 BCX0"> between Aug 2006 – Aug 2023</span><span class="NormalTextRun SCXW69589011 BCX0">.</span><span class="NormalTextRun SCXW69589011 BCX0"> Hourly, raw data </span><span class="NormalTextRun CommentStart ContextualSpellingAndGrammarErrorV2Themed SCXW69589011 BCX0">are</span><span class="NormalTextRun SCXW69589011 BCX0"> available upon request.</span></span><span class="EOP SCXW69589011 BCX0"> </span></p>
Global LAke Surface water Temperature (GLAST): Global lakes are warming slower than surface air temperature due to accelerated evaporation
<p>This repository houses a dataset, known as the Global LAke Surface water Temperature (GLAST), which provides both temporal and spatial details at high resolution for 92,245 lakes worldwide during the period of 1981-2099, with 36% of them situated in Arctic regions. The dataset was established based on four decades (1982-2020) of Landsat satellite images and a physical model (FLake). For a comprehensive overview of the dataset's production methodology, please refer to the paper titled 'Global lakes are warming slower than surface air temperature due to accelerated evaporation' (Tong et al., 2023, Nature Water). Detailed information regarding each data file can be found in the 'readme.docx' file.</p>
A suspended hot drop of 1,3-propanediol with 4.1 mm base diameter, 190oC core temperature, and approaching air flow at 0.34 m/s, recorded at 10,000 fps and 99 ms exposure time, with default video playback speed 30 fps
<p>A suspended hot drop of 1,3-propanediol with 4.1 mm base diameter, 190<sup>o</sup>C core temperature, and approaching air flow at 0.34 m/s, recorded at 10,000 fps and 99 ms exposure time, with default video playback speed 30 fps</p>
Indoor Air Temperature and Occupant Behavior in Classroom of higher education building in Mediterranean climate
<p>Data collection Include the measurement of indoor and outdoor environmental parameters (air temperature and relative humidity) and occupant interactions with building systems (window and door status: open/closed, blind state, and thermostat/air-conditioning adjustment).</p><p>The outdoor air temperature, relative humidity, and wind speed were collected as potential control variables to indicate different outdoor conditions.</p><p>The indoor air temperature and relative humidity in the classroom were monitored using wireless sensors. Six RHT sensors were placed at different locations: one in the center (F98), two on the ceiling next to grilles (FA1 et F9B), one on the carpentry of one of the windows (F9D), one near the writing board (F94), and one in the corridor outside the classroom (F96). Indoor parameters were recorded at ten minutes intervals.</p><p>The number of occupants was determined hourly (morning and afternoon) by counting and surveying (attendance sheets). The usage schedules of the classroom were 8:30–18:00. The number of occupants varied from 0 to 31.</p><p>The states of doors and windows (open or close) were monitored using magnetic sensor that detects the opening of doors and windows. The states of the door and windows were recorded at ten minute intervals.</p><p>The window-blind closing rate was determined by visual observation. The closing rates were 0%, 25%, 50%, 75%, and 100%. Observations were conducted throughout the day in the morning and afternoon at 1 h intervals.</p><p>The state of the heating/air-conditioning system was determined to be off or on every hour (in the morning and afternoon) using the HVAC control panel (HMI)</p>
The Effects of Ambient Temperature and Forced-air Warming on Intraoperative Core Temperature
ClinicalTrials.gov study NCT02715076. IPD Sharing: NO. Countries: 1. Publications: 25.
A thermal performance curve perspective explains decades of disagreements over how air temperature affects the flight metabolism of honey bees
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Respirometry protocols for avian thermoregulation at high air temperatures: stepped and steady-state profiles yield similar results
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Great Basin National Park, NV air temperature and relative humidity
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Global record-breaking recurrence rates indicates more widespread and intense surface air temperature and precipitation extremes
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Data from: Investigation of the effect of temperature and colonial air on the ontogeny of circadian rhythms in young worker honey bees Apis mellifera
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Longitudinal assessment of thermal and perceived air quality acceptability in relation to temperature, humidity, and CO2 exposure in Singapore
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California Current Ecosystem site, station Lindbergh Field Airport, San Diego, CA, study of air temperature (mean maximum ) in units of celsius on a monthly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from California Current Ecosystem (CCE) contains air temperature (mean maximum ) measurements in celsius units and were aggregated to a monthly timescale.
California Current Ecosystem site, station Lindbergh Field Airport, San Diego, CA, study of air temperature (mean maximum ) in units of celsius on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from California Current Ecosystem (CCE) contains air temperature (mean maximum ) measurements in celsius units and were aggregated to a yearly timescale.
California Current Ecosystem site, station Lindbergh Field Airport, San Diego, CA, study of air temperature (mean) in units of celsius on a monthly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from California Current Ecosystem (CCE) contains air temperature (mean) measurements in celsius units and were aggregated to a monthly timescale.
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Allen Brain Atlas
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International Brain Laboratory public data
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OpenNeuro
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