Il prodotto di dati sulla temperatura giornaliera del Climate Hazards Center InfraRed Temperature with Stations (CHIRTS-daily; Verdin et al. 2020) è un set di dati quasi globale ad alta risoluzione (risoluzione 0, 05° × 0, 05°, 60° S - 70° N) che fornisce temperature minime (Tmin) e massime (Tmax) a 2 metri di altezza e quattro variabili derivate: pressione di vapore saturo (SVP), deficit di pressione di vapore (VPD), umidità relativa (RH) e indice di calore (HI).
I prodotti di temperatura CHIRTS sono progettati per supportare l'analisi di estremi e variabilità di temperatura, in particolare nelle regioni con una bassa densità di osservazioni delle stazioni.
CHIRTS-daily viene creato unendo un set di dati mensili di alta qualità e ad alta risoluzione
sulla temperatura massima, il record climatico mensile sulla temperatura massima
del Climate Hazards Center InfraRed
Temperature with Stations (CHIRTSmax; Funk et al. 2019) con le temperature giornaliere della rianalisi v5 (ERA5) del Centro europeo per le previsioni meteorologiche a medio termine (ECMWF).
Il risultato è un set di dati giornalieri sulla temperatura ad alta risoluzione che mantiene
le informazioni spazio-temporali di CHIRTSmax mensile e la variabilità
della temperatura giornaliera e diurna di ERA5. I CHIRTSmax mensili si basano su:
Una climatologia Tmax costruita utilizzando regressioni geostatistiche e
medie a lungo termine di osservazioni delle stazioni FAO, temperature ERA5 e
diversi altri fattori predittivi geografici.
Stime della variabilità di Tmax utilizzando circa 15.000 osservazioni in situ
e osservazioni satellitari ad alta risoluzione
(0,05° × 0,05°).
Questi dati provengono dai report delle stazioni Berkeley Earth e Global Telecommunication
System (GTS) e dalle temperature di luminosità termica infrarossa del satellite
geostazionario GridSat sottoposte a screening delle nuvole.
I valori Tmax giornalieri vengono prodotti utilizzando le anomalie Tmax ERA5 ridimensionate e
CHIRTSmax ad alta risoluzione. I valori giornalieri di Tmin vengono creati rimuovendo
l'intervallo di temperatura diurna (Tmax - Tmin) di ERA5 ridotto.
SVP, VPD, RH e HI giornalieri vengono calcolati utilizzando Tmin e Tmax giornalieri di CHIRTS, insieme agli input orari di ERA5 per altre variabili meteorologiche
(vedi Williams et al., 2024, per i dettagli). CHIRTS-daily, versione 1, copre
il periodo dal 1983 al 2016.
Bande
Dimensioni in pixel 5566 metri
Bande
Nome
Unità
Min
Max
Dimensioni dei pixel
Descrizione
minimum_temperature
°C
metri
La temperatura dell'aria più bassa registrata a 2 metri sopra la superficie del terreno
in un periodo di 24 ore.
maximum_temperature
°C
10*
40*
metri
La temperatura dell'aria più alta registrata a 2 metri sopra la superficie del terreno
in un periodo di 24 ore.
saturation_vapor_pressure
kPa
metri
La quantità massima di vapore acqueo che l'aria può contenere a una determinata temperatura e pressione a 2 metri dal suolo.
vapor_pressure_deficit
kPa
metri
La differenza tra la pressione di vapore saturo e la pressione di vapore effettiva a 2 metri da terra.
relative_humidity
%
metri
Il rapporto tra la quantità effettiva di vapore acqueo nell'aria e la quantità massima che potrebbe contenere a quella temperatura e pressione (pressione di vapore saturo) a 2 metri dal suolo.
heat_index
°F
metri
Una misura di quanto caldo si percepisce quando temperatura e umidità sono
combinate.
* valore minimo o massimo stimato
Termini e condizioni d'uso
Termini e condizioni d'uso
Questi set di dati sono di dominio pubblico. Nei limiti consentiti dalla legge,
Chris Funk ha rinunciato a tutti
i diritti d'autore e ai diritti correlati o connessi al prodotto di dati sulla temperatura giornaliera Climate Hazards InfraRed
Temperature with Stations (CHIRTS-daily).
Citazioni
Citazioni:
Verdin, A., C. Funk, P. Peterson, M. Landsfeld, C. Tuholske e Grace, K.,
2020: Sviluppo e convalida del set di dati giornalieri di temperatura ad alta risoluzione quasi globale CHIRTS. 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,
and N. Mata, 2019: A High-Resolution 1983-2016 Tmax Climate Data Record
Based on Infrared Temperatures and Stations by the Climate Hazard
Center. J. Climate, 32, 5639-5658.
doi:10.1175/JCLI-D-18-0698.1
Williams, E., C. Funk, P. Peterson e C. Tuholske (2024). Osservazioni e proiezioni ad alta
risoluzione del cambiamento climatico per la
valutazione degli estremi legati al calore. Scientific Data, 11(1), 261.
doi: 10.1038/s41597-024-03074-w
Il prodotto di dati sulla temperatura giornaliera del Climate Hazards Center InfraRed Temperature with Stations (CHIRTS-daily; Verdin et al. 2020) è un set di dati quasi globale e ad alta risoluzione (risoluzione 0,05° × 0,05°, 60° S - 70° N) che fornisce le temperature minime (Tmin) e massime (Tmax) a 2 metri di altezza e quattro variabili derivate: pressione di vapore saturo (SVP), deficit di pressione di vapore…
[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)"]]
