这些数据集位于公共领域。在法律允许的最大范围内，Chris Funk 已放弃对“Climate Hazards InfraRed Temperature with Stations daily temperature data product (CHIRTS-daily)”（气候灾害红外温度与地面站每日温度数据产品 [CHIRTS-daily]）的所有版权及相关权利或邻接权。
引用
引用：
Verdin, A.、C. Funk, P. Peterson, M. Landsfeld, C. Tuholske 和 Grace, K.，2020 年：开发并验证了 CHIRTS-daily 近似全球高分辨率每日温度数据集。Scientific Data，7(1)，303。
doi：10.1038/s41597-020-00643-7
Funk, C.、P. Peterson, S. Peterson, S. Shukla,
F. Davenport, J. Michaelsen, K.R. Knapp, M. Landsfeld, G. Husak,
L. Harrison, J. Rowland, M. Budde, A. Meiburg, T. Dinku, D. Pedreros 和 N. Mata，2019 年：基于气候危害中心红外温度和站点的 1983-2016 年高分辨率最高气温气候数据记录。J. Climate，32，5639-5658。
doi:10.1175/JCLI-D-18-0698.1
Williams, E.、C. Funk, P. Peterson 和 C. Tuholske（2024 年）。高分辨率气候变化观测和预测，用于评估与高温相关的极端天气事件。Scientific Data, 11(1), 261.
doi: 10.1038/s41597-024-03074-w
Climate Hazards Center InfraRed Temperature with Stations daily temperature data product (CHIRTS-daily; Verdin et al. 2020) 是一种准全球高分辨率网格数据集（0.05° × 0.05° 分辨率，60°S - 70°N），可提供每日最低温度 (Tmin) 和最高温度（Tmax，2 米高度）以及四个派生变量：饱和蒸汽压 (SVP)、蒸汽压亏缺 …
[null,null,[],[[["\u003cp\u003eCHIRTS-daily provides daily minimum and maximum 2-meter temperatures globally at a 0.05° × 0.05° resolution from 1983 to 2016.\u003c/p\u003e\n"],["\u003cp\u003eThe dataset also includes derived variables: saturation vapor pressure, vapor pressure deficit, relative humidity, and heat index.\u003c/p\u003e\n"],["\u003cp\u003eCHIRTS-daily merges high-resolution monthly maximum temperatures with daily temperatures from the European Centre for Medium-Range Weather Forecasts (ECMWF) Reanalysis v5 (ERA5).\u003c/p\u003e\n"],["\u003cp\u003eThis dataset is designed to support the analysis of temperature extremes and variability, particularly in data-sparse regions.\u003c/p\u003e\n"],["\u003cp\u003eCHIRTS-daily is publicly available and provided by UCSB/CHG.\u003c/p\u003e\n"]]],[],null,["# CHIRTS-daily: Climate Hazards Center InfraRed Temperature with Stations daily temperature data product\n\nDataset Availability\n: 1983-01-01T00:00:00Z--2016-12-31T00:00:00Z\n\nDataset Provider\n:\n\n\n [UCSB/CHG](https://chc.ucsb.edu/data/chirtsdaily)\n\nCadence\n: 1 Day\n\nTags\n:\n[chg](/earth-engine/datasets/tags/chg) [climate](/earth-engine/datasets/tags/climate) [daily](/earth-engine/datasets/tags/daily) [era5](/earth-engine/datasets/tags/era5) [geophysical](/earth-engine/datasets/tags/geophysical) [reanalysis](/earth-engine/datasets/tags/reanalysis) [temperature](/earth-engine/datasets/tags/temperature) [ucsb](/earth-engine/datasets/tags/ucsb) [wind](/earth-engine/datasets/tags/wind) \n\n#### Description\n\nThe Climate Hazards Center InfraRed Temperature with Stations daily\ntemperature data product (CHIRTS-daily; Verdin et al. 2020) is a quasi\nglobal, high-resolution gridded dataset\n(0.05° × 0.05° resolution, 60°S - 70°N)\nthat provides daily minimum (Tmin) and maximum 2-meter temperatures (Tmax)\nand four derived variables: saturation vapor pressure (SVP),\nvapor pressure deficit (VPD), relative humidity (RH), and heat index (HI).\nCHIRTS temperature products are designed to support analysis of temperature\nextremes and variability, especially in regions with a low density of\nstation observations.\n\nCHIRTS-daily is created by merging a high-quality, high-resolution monthly\nmaximum temperature dataset, the Climate Hazards Center InfraRed\nTemperature with Stations monthly maximum temperature climate record\n(CHIRTSmax; Funk et al. 2019), with daily temperatures from the European\nCentre for Medium-Range Weather Forecasts (ECMWF) Reanalysis v5 (ERA5).\nThe result is a high-resolution, daily temperature dataset that maintains\nspatio-temporal information from monthly CHIRTSmax and the daily and diurnal\ntemperature variability from ERA5. Monthly CHIRTSmax are based on:\n\n1. A Tmax climatology constructed using geostatistical regressions and\n long-term averages of FAO station observations, ERA5 temperatures, and\n several other geographic predictors.\n\n2. Estimates of Tmax variability using approximately 15,000 in situ\n observations and high-resolution\n (0.05° × 0.05°) satellite observations.\n These data are from Berkeley Earth and Global Telecommunication\n System (GTS) station reports and cloud-screened GridSat geostationary\n satellite thermal infrared brightness temperatures.\n\nDaily Tmax values are produced using downscaled ERA5 Tmax anomalies and\nhigh-resolution CHIRTSmax. Daily Tmin values are created by removing the\ndownscaled ERA5 diurnal temperature range (Tmax - Tmin).\nDaily SVP, VPD, RH, and HI are computed using CHIRTS-daily Tmin and Tmax,\nalongside hourly ERA5 inputs for other meteorological variables\n(see Williams et al., 2024, for details). CHIRTS-daily, version 1, covers\nthe period from 1983 to 2016.\n\n### Bands\n\n\n**Pixel Size**\n\n5566 meters\n\n**Bands**\n\n| Name | Units | Min | Max | Pixel Size | Description |\n|-----------------------------|-------|------|------|------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| `minimum_temperature` | °C | | | meters | The lowest air temperature recorded at 2 meters above the ground surface over a 24-hour period. |\n| `maximum_temperature` | °C | 10\\* | 40\\* | meters | The highest air temperature recorded at 2 meters above the ground surface over a 24-hour period. |\n| `saturation_vapor_pressure` | kPa | | | meters | The maximum amount of water vapor that the air can hold at a given temperature and pressure at 2 meters above ground. |\n| `vapor_pressure_deficit` | kPa | | | meters | The difference between the saturation vapor pressure and the actual vapor pressure at 2 meters above ground. |\n| `relative_humidity` | % | | | meters | The ratio of the actual amount of water vapor in the air to the maximum amount it could hold at that temperature and pressure (saturation vapor pressure) at 2 meters above ground. |\n| `heat_index` | °F | | | meters | A measure of how hot it feels when temperature and humidity are combined. |\n\n\\* estimated min or max value\n\n### Terms of Use\n\n**Terms of Use**\n\nThis datasets are in the public domain. To the extent possible under law,\n[Chris Funk](https://chc.ucsb.edu/people/chris-funk) has waived all\ncopyright and related or neighboring rights to Climate Hazards InfraRed\nTemperature with Stations daily temperature data product (CHIRTS-daily).\n\n### Citations\n\nCitations:\n\n- Verdin, A., C. Funk, P. Peterson, M. Landsfeld, C. Tuholske, and Grace, K.,\n 2020: Development and validation of the CHIRTS-daily quasi-global\n high-resolution daily temperature data set. Scientific Data, 7(1), 303.\n [doi: 10.1038/s41597-020-00643-7](https://doi.org/10.1038/s41597-020-00643-7)\n- Funk, C., P. Peterson, S. Peterson, S. Shukla,\n F. Davenport, J. Michaelsen, K.R. Knapp, M. Landsfeld, G. Husak,\n L. Harrison, J. Rowland, M. Budde, A. Meiburg, T. Dinku, D. Pedreros,\n and N. Mata, 2019: A High-Resolution 1983-2016 Tmax Climate Data Record\n Based on Infrared Temperatures and Stations by the Climate Hazard\n Center. J. Climate, 32, 5639-5658.\n [doi:10.1175/JCLI-D-18-0698.1](https://doi.org/10.1175/JCLI-D-18-0698.1)\n- Williams, E., C. Funk, P. Peterson, and C. Tuholske (2024). High\n resolution climate change observations and projections for the\n evaluation of heat-related extremes. Scientific Data, 11(1), 261.\n [doi: 10.1038/s41597-024-03074-w](https://doi.org/10.1038/s41597-024-03074-w)\n\n### DOIs\n\n- \u003chttps://doi.org/10.1038/s41597-024-03074-w\u003e\n- \u003chttps://doi.org/10.1175/JCLI-D-18-0698.1\u003e\n\n### Explore with Earth Engine\n\n| **Important:** Earth Engine is a platform for petabyte-scale scientific analysis and visualization of geospatial datasets, both for public benefit and for business and government users. Earth Engine is free to use for research, education, and nonprofit use. To get started, please [register for Earth Engine access.](https://console.cloud.google.com/earth-engine)\n\n### Code Editor (JavaScript)\n\n```javascript\nvar dataset = ee.ImageCollection('UCSB-CHG/CHIRTS/DAILY')\n .filter(ee.Filter.date('2016-05-01', '2016-05-03'));\nvar maximumTemperature = dataset.select('maximum_temperature');\nvar visParams = {\n min: 10,\n max: 30,\n palette: ['darkblue', 'blue', 'cyan', 'green', 'yellow', 'orange', 'red','darkred'],\n};\nMap.setCenter(-104.28, 46.07, 3);\nMap.addLayer(maximumTemperature, visParams, 'Maximum temperature');\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/UCSB-CHG/UCSB-CHG_CHIRTS_DAILY) \n[CHIRTS-daily: Climate Hazards Center InfraRed Temperature with Stations daily temperature data product](/earth-engine/datasets/catalog/UCSB-CHG_CHIRTS_DAILY) \nThe Climate Hazards Center InfraRed Temperature with Stations daily temperature data product (CHIRTS-daily; Verdin et al. 2020) is a quasi global, high-resolution gridded dataset (0.05° × 0.05° resolution, 60°S - 70°N) that provides daily minimum (Tmin) and maximum 2-meter temperatures (Tmax) and four derived variables: saturation vapor pressure (SVP), vapor pressure deficit ... \nUCSB-CHG/CHIRTS/DAILY, chg,climate,daily,era5,geophysical,reanalysis,temperature,ucsb,wind \n1983-01-01T00:00:00Z/2016-12-31T00:00:00Z \n-60 -180 70 180 \nGoogle Earth Engine \nhttps://developers.google.com/earth-engine/datasets\n\n- [https://doi.org/10.1175/JCLI-D-18-0698.1](https://doi.org/https://chc.ucsb.edu/data/chirtsdaily)\n- [https://doi.org/10.1175/JCLI-D-18-0698.1](https://doi.org/https://developers.google.com/earth-engine/datasets/catalog/UCSB-CHG_CHIRTS_DAILY)"]]
