Set data ini berisi perkiraan meteorologi (fcst) data frekuensi temporal tinggi (htf). Gunakan properti 'creation_time' dan 'forecast_time'
untuk memilih data yang diinginkan.
Sistem Goddard Earth Observing System Composition Forecast (GEOS-CF) adalah sistem prediksi konstituen global beresolusi tinggi (0,25°) dari Global Modeling and Assimilation Office(GMAO) NASA.
GEOS-CF menawarkan alat baru untuk riset kimia atmosfer, dengan tujuan melengkapi berbagai pengamatan in-situ dan berbasis ruang angkasa NASA.
GEOS-CF memperluas sistem pemodelan cuaca dan aerosol GEOS dengan
memperkenalkan modul kimia GEOS-Chem untuk memberikan perkiraan historis dan perkiraan 5 hari ke depan tentang konstituen atmosfer, termasuk ozon (O3), karbon monoksida (CO), nitrogen dioksida (NO2), sulfur dioksida (SO2), dan materi partikulat halus (PM2.5). Modul kimia yang terintegrasi dalam GEOS-CF identik dengan model GEOS-Chem offline dan langsung mendapatkan manfaat dari inovasi yang disediakan oleh komunitas GEOS-Chem.
Evaluasi GEOS-CF terhadap pengamatan satelit, ozonesonde, dan permukaan selama tahun 2018–2019 menunjukkan konsentrasi O3, NO2, dan CO yang disimulasikan secara realistis, dengan bias rata-rata yang dinormalisasi sebesar −0,1 hingga 0,3, error rata-rata kuadrat yang dinormalisasi antara 0,1–0,4, dan korelasi antara 0,3–0,8. Perbandingan dengan pengamatan permukaan menyoroti keberhasilan representasi polutan udara di banyak wilayah di dunia dan selama semua musim, tetapi juga menyoroti batasan saat ini, seperti bias tinggi global dalam SO2 dan prediksi berlebih O3 musim panas di Amerika Serikat bagian Tenggara.
GEOS-CF v1.0 umumnya melebih-lebihkan aerosol sebesar 20%–50% karena masalah yang diketahui di GEOS-Chem v12.0.1 yang telah diatasi dalam versi yang lebih baru. Prakiraan 5 hari memiliki skor keahlian yang sebanding dengan hindcast 1 hari. Kemampuan model dapat ditingkatkan secara signifikan dengan menerapkan koreksi bias pada output model permukaan menggunakan pendekatan machine learning.
Band
Ukuran Piksel 27.750 meter
Band
Nama
Unit
Ukuran Piksel
Deskripsi
CO
Fraksi mol
meter
Rasio pencampuran volume karbon monoksida (CO, MW = 28,00 g mol-1) udara kering
NO2
Fraksi mol
meter
Rasio pencampuran volume nitrogen dioksida (NO2, MW = 46,00 g mol-1) udara kering
O3
Fraksi mol
meter
Rasio pencampuran volume ozon (O3, MW = 48,00 g mol-1) udara kering
PM25_RH35_GCC
ug m-3
meter
Materi partikulat dengan diameter di bawah 2,5 um RH 35
PM25_RH35_GOCART
kg/m^3
meter
Total PM2.5 yang direkonstruksi RH 35
Q
Fraksi massa
meter
Kelembapan spesifik
RH
meter
Kelembapan relatif setelah lembap
SLP
Pa
meter
Tekanan permukaan laut
SO2
Fraksi mol
meter
Rasio pencampuran volume sulfur dioksida (SO2, MW = 64,00 g mol-1) udara kering
T
K
meter
Suhu udara
U
m/d
meter
Angin timur
V
m/d
meter
Angin ke utara
Properti Gambar
Properti Gambar
Nama
Jenis
Deskripsi
creation_time
DOUBLE
Waktu pembuatan
forecast_time
DOUBLE
Waktu perkiraan
Persyaratan Penggunaan
Persyaratan Penggunaan
Kecuali jika dinyatakan lain, semua data yang dihasilkan NASA dapat digunakan untuk tujuan apa pun tanpa izin sebelumnya. Untuk mengetahui informasi dan pengecualian selengkapnya, buka
halaman Kebijakan Data & Informasi NASA.
Kutipan
Kutipan:
Keller, C. A., Knowland, K. E., Duncan, B. N., Liu, J., Anderson, D. C.,
Das, S., ... & Pawson, S. (2021). Deskripsi sistem pemodelan prakiraan komposisi NASA GEOS GEOS-CF v1. 0. Journal of Advances in Modeling
Earth Systems, 13(4), e2020MS002413.
doi:10.1029/2020MS002413
Set data ini berisi prakiraan meteorologi (fcst) data frekuensi temporal tinggi (htf). Gunakan properti 'creation_time' dan 'forecast_time' untuk memilih data yang diinginkan. Sistem Goddard Earth Observing System Composition Forecast (GEOS-CF) adalah sistem prediksi konstituen global beresolusi tinggi (0,25°) dari Global Modeling and Assimilation Office(GMAO) NASA. GEOS-CF menawarkan …
[null,null,[],[[["\u003cp\u003eThe NASA GEOS-CF v1 dataset provides high-resolution (0.25°) global meteorological forecasts, including atmospheric constituents like ozone, carbon monoxide, and particulate matter.\u003c/p\u003e\n"],["\u003cp\u003eIt offers a 5-day forecast and hindcast data, created by the Global Modeling and Assimilation Office (GMAO).\u003c/p\u003e\n"],["\u003cp\u003eUsers can select specific data using the 'creation_time' and 'forecast_time' properties.\u003c/p\u003e\n"],["\u003cp\u003eThe dataset is available from October 1, 2022, to December 11, 2024, and is accessible through Google Earth Engine.\u003c/p\u003e\n"],["\u003cp\u003eThough generally accurate, the dataset may overestimate aerosols and has some limitations in predicting specific constituents like SO2 and summertime O3 in certain regions.\u003c/p\u003e\n"]]],["The NASA GEOS-CF dataset, provided by NASA/GMAO, offers high-resolution meteorological forecasts from October 1, 2022, to February 21, 2025. This includes data on atmospheric constituents like ozone, carbon monoxide, nitrogen dioxide, sulfur dioxide, and particulate matter (PM2.5). The system uses the GEOS-Chem module to generate 5-day forecasts. Data can be selected using 'creation_time' and 'forecast_time' properties and accessed via Google Earth Engine with specified image properties, bands and code examples.\n"],null,["Dataset Availability\n: 2022-10-01T00:00:00Z--2025-08-30T12:00:00Z\n\nDataset Provider\n:\n\n\n [NASA / GMAO](https://gmao.gsfc.nasa.gov/weather_prediction/GEOS-CF/)\n\nTags\n:\n[atmosphere](/earth-engine/datasets/tags/atmosphere) [composition](/earth-engine/datasets/tags/composition) [forecast](/earth-engine/datasets/tags/forecast) [geos](/earth-engine/datasets/tags/geos) [gmao](/earth-engine/datasets/tags/gmao) [nasa](/earth-engine/datasets/tags/nasa) \n\nDescription \nThis dataset contains meteorological forecast (fcst) of high-temporal\nfrequency data (htf). Use the 'creation_time' and 'forecast_time' properties\nto select data of interest.\nThe Goddard Earth Observing System Composition Forecast (GEOS-CF) system is\na high-resolution (0.25°) global constituent prediction system from\nNASA's [Global Modeling and Assimilation Office(GMAO)](https://gmao.gsfc.nasa.gov/).\n\nGEOS-CF offers a new tool for atmospheric chemistry research, with the goal\nto supplement NASA's broad range of space-based and in-situ observations.\nGEOS-CF expands on the GEOS weather and aerosol modeling system by\nintroducing the [GEOS-Chem](http://wiki.seas.harvard.edu/geos-chem/)\nchemistry module to provide hindcasts and 5-days forecasts of atmospheric\nconstituents including ozone (O3), carbon monoxide (CO), nitrogen dioxide\n(NO2), sulfur dioxide (SO2), and fine particulate matter (PM2.5). The\nchemistry module integrated in GEOS-CF is identical to the offline GEOS-Chem\nmodel and readily benefits from the innovations provided by the GEOS-Chem\ncommunity.\n\nEvaluation of GEOS-CF against satellite, ozonesonde, and surface\nobservations for years 2018--2019 shows realistic simulated\nconcentrations of O3, NO2, and CO, with normalized mean biases of −0.1\nto 0.3, normalized root mean square errors between 0.1--0.4, and\ncorrelations between 0.3--0.8. Comparisons against surface observations\nhighlight the successful representation of air pollutants in many regions of\nthe world and during all seasons, yet also highlight current limitations,\nsuch as a global high bias in SO2 and an overprediction of summertime O3\nover the Southeast United States.\n\nGEOS-CF v1.0 generally overestimates aerosols by 20%--50% due to known\nissues in GEOS-Chem v12.0.1 that have been addressed in later versions. The\n5-days forecasts have skill scores comparable to the 1-day hindcast. Model\nskills can be improved significantly by applying a bias-correction to the\nsurface model output using a machine-learning approach.\n\nBands\n\n\n**Pixel Size**\n\n27750 meters\n\n**Bands**\n\n| Name | Units | Pixel Size | Description |\n|--------------------|---------------|------------|------------------------------------------------------------------------|\n| `CO` | Mol fraction | meters | Carbon monoxide (CO, MW = 28.00 g mol-1) volume mixing ratio dry air |\n| `NO2` | Mol fraction | meters | Nitrogen dioxide (NO2, MW = 46.00 g mol-1) volume mixing ratio dry air |\n| `O3` | Mol fraction | meters | Ozone (O3, MW = 48.00 g mol-1) volume mixing ratio dry air |\n| `PM25_RH35_GCC` | ug m-3 | meters | Particulate matter with diameter below 2.5 um RH 35 |\n| `PM25_RH35_GOCART` | kg/m\\^3 | meters | Total reconstructed PM2.5 RH 35 |\n| `Q` | Mass fraction | meters | Specific humidity |\n| `RH` | | meters | Relative humidity after moist |\n| `SLP` | Pa | meters | Sea level pressure |\n| `SO2` | Mol fraction | meters | Sulfur dioxide (SO2, MW = 64.00 g mol-1) volume mixing ratio dry air |\n| `T` | K | meters | Air temperature |\n| `U` | m/s | meters | Eastward wind |\n| `V` | m/s | meters | Northward wind |\n\nImage Properties\n\n**Image Properties**\n\n| Name | Type | Description |\n|---------------|--------|------------------|\n| creation_time | DOUBLE | Time of creation |\n| forecast_time | DOUBLE | Forecast time |\n\nTerms of Use\n\n**Terms of Use**\n\nUnless otherwise noted, all NASA-produced data may be used for any purpose\nwithout prior permission. For more information and exceptions visit the\n[NASA Data \\& Information Policy page](https://earthdata.nasa.gov/collaborate/open-data-services-and-software/data-information-policy).\n\nCitations \nCitations:\n\n- Keller, C. A., Knowland, K. E., Duncan, B. N., Liu, J., Anderson, D. C.,\n Das, S., ... \\& Pawson, S. (2021). Description of the NASA GEOS composition\n forecast modeling system GEOS-CF v1. 0. Journal of Advances in Modeling\n Earth Systems, 13(4), e2020MS002413.\n [doi:10.1029/2020MS002413](https://doi.org/10.1029/2020MS002413)\n\nDOIs\n\n- \u003chttps://doi.org/10.1029/2020MS002413\u003e\n\nExplore with Earth Engine **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\nCode Editor (JavaScript) \n\n```javascript\nvar imageVisParamNO2 = {\n 'bands': ['NO2'],\n 'min': 6.96e-11,\n 'max': 4.42e-8,\n};\n\nvar imageVisParamT = {\n 'bands': ['T'],\n 'min': 220,\n 'max': 320,\n 'palette': ['d7191c', 'fdae61', 'ffffbf', 'abd9e9', '2c7bb6'],\n};\n\nvar geosCf = ee.ImageCollection('NASA/GEOS-CF/v1/fcst/htf');\n\nMap.setCenter(100, 20, 3);\n\nvar weeklyT =\n geosCf.select('T').filterDate('2022-11-01', '2022-11-08').median();\nMap.addLayer(weeklyT, imageVisParamT, 'Weekly T', false, 1);\n\nvar NO2 = ee.Image('NASA/GEOS-CF/v1/fcst/htf/20221215_12z-20221216_1200z');\nMap.addLayer(NO2, imageVisParamNO2, 'NO2', true, 1);\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/NASA/NASA_GEOS-CF_v1_fcst_htf) \n[GEOS-CF fcst htf v1: Goddard Earth Observing System Composition Forecast](/earth-engine/datasets/catalog/NASA_GEOS-CF_v1_fcst_htf) \nThis dataset contains meteorological forecast (fcst) of high-temporal frequency data (htf). Use the 'creation_time' and 'forecast_time' properties to select data of interest. The Goddard Earth Observing System Composition Forecast (GEOS-CF) system is a high-resolution (0.25°) global constituent prediction system from NASA's Global Modeling and Assimilation Office(GMAO). GEOS-CF offers a new ... \nNASA/GEOS-CF/v1/fcst/htf, atmosphere,composition,forecast,geos,gmao,nasa \n2022-10-01T00:00:00Z/2025-08-30T12:00:00Z \n-90 -180 90 180 \nGoogle Earth Engine \nhttps://developers.google.com/earth-engine/datasets\n\n- [https://doi.org/10.1029/2020MS002413](https://doi.org/https://gmao.gsfc.nasa.gov/weather_prediction/GEOS-CF/)\n- [https://doi.org/10.1029/2020MS002413](https://doi.org/https://developers.google.com/earth-engine/datasets/catalog/NASA_GEOS-CF_v1_fcst_htf)"]]
