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10 results for “GOME-2”
Degradation corrected 0.05 degree GOME-2 SIF datasets in Amazon area
<p>An 8-day instrument degradation corrected 0.05 degree GOME-2 SIF dataset in Amazon area from 2010 to 2018. PK dataset from the spatially downscaled sun-induced fluorescence global product proposed by Gregory Duveiller in 2020 is corrected based on a pseudo-invariant method and then masked. Mean value composite method is used to produce monthly data. Files are organized in TIF format.</p>
A global GOME-2 monthly SIF dataset (2007-2018) with correction of temporal degradation
<p>Monthly instrument degradation corrected 0.5 degree GOME-2 SIF datasets on a global scale from 2007 to 2018. The sun-induced fluorescence global product Joiner et al. (2017) is firstly uscaled to a monthly resolution using a APAR based algorithm by Hu et al. (2018). Then, the mothly GOME-2 SIF was corrected based on a pseudo-invariant method to eliminate the temporal degradation of GOME-2 satellite sensor. Files are organized in TIF format.</p>
An improved downscaled sun-induced chlorophyll fluorescence (DSIF) product of GOME-2 dataset
<p>The downscaled solar-induced chlorophyll fluorescence (DSIF) product (wavelength at 740 nm) had a spatial resolution of 0.05° and a temporal resolution of 8 days.</p> <p>The difference between version 1:</p> <p>(1) Before spatial downscaling, we upscaled SIF from instantaneous clear-sky observations to all-sky sums (according to https://doi.org/10.1016/j.agrformet.2021.108439), while use cos (SZA) instead of PAR.</p> <p>(2) After spatial downscaling, we used the ratio of ERA5 PAR to PAR under clear-sky to convert clear-sky SIF to all-sky SIF.</p> <p> </p>
Global High-Resolution Estimates of SIF from Fused SCIAMACHY and GOME-2, V2
This dataset provides global solar-induced chlorophyll fluorescence (SIF) estimates at a 0.05-degree resolution (approximately 5 km at the equator) for each month from January 2003 through December 2017. SIF data (740 nm) was retrieved from the SCanning Imaging Absorption spectroMeter for Atmospheric CHartographY (SCIAMACHY) and Global Ozone Monitoring Experiment 2 (GOME-2) instruments onboard the MetOp-A satellite. The data were downscaled to 0.05 degrees using the Random Forest algorithm and predictors from Moderate Resolution Imaging Spectroradiometer (MODIS) and Modern-Era Retrospective analysis for Research and Applications, Version 2 (MERRA-2) reanalysis, and then harmonized with the cumulative distribution function (CDF) matching technique. The uncertainty of the harmonized SIF estimates was also quantified and provided. Validation of the harmonized product showed that it retained high spatial and temporal consistency with the original SCIAMACHY and GOME-2 SIF retrievals and had good correlations with independent airborne and ground-based SIF measurements. The dataset can inform on the synergy between satellite SIF and photosynthesis and research on drought, yield estimation, and land degradation evaluation. The data are provided in netCDF format.
L2 Daily Solar-Induced Fluorescence (SIF) from MetOp-A GOME-2, 2007-2018, V2
This dataset provides Level 2 (L2) Solar-Induced Fluorescence (SIF) of chlorophyll estimates derived from the Global Ozone Monitoring Experiment 2 (GOME-2) instrument on the European Meteorological Satellite (EUMETSAT) MetOp-A with ~0.5 nm spectral resolution and wavelengths between 734 and 758 nm. GOME-2 covers global land on an orbital basis at a resolution of approximately 40 km x 80 km (before 15 July 2013) or 40 km x 40 km (since 15 July 2013). Data are provided for the period from 2007-02-01 to 2018-02-01. Each file contains daily raw and bias-adjusted solar-induced fluorescence, quality control information, and ancillary data. SIF measurements can provide information on vegetation's functional status, including light-use efficiency and global primary productivity, which can be used for global carbon cycle modeling and agricultural applications. The GOME-2 SIF product is inherently noisy due to low signal levels and has undergone only a limited amount of validation. The data are provided in netCDF format.
L2 Daily Solar-Induced Fluorescence (SIF) from MetOp-B GOME-2, 2013-2021
This dataset provides Level 2 (L2) Solar-Induced Fluorescence (SIF) of chlorophyll estimates derived from the Global Ozone Monitoring Experiment 2 (GOME-2) instrument on the European Meteorological Satellite (EUMETSAT) MetOp-B with ~0.5 nm spectral resolution and wavelengths between 734 and 758 nm. GOME-2 covers global land (observations up to 75-degree solar zenith angle) at a resolution of approximately 40 km x 80. Data are provided for the period from 2013-04-01 to 2021-06-07. Each file contains daily raw and bias-adjusted solar-induced fluorescence along with quality control information and ancillary data. SIF measurements can provide information on the functional status of vegetation including light-use efficiency and global primary productivity that can be used for global carbon cycle modeling and agricultural applications. The GOME-2 SIF product is inherently noisy owing to low signal levels and has undergone only a limited amount of validation. The data are provided in netCDF (*.nc) format.
L2 Daily Solar-Induced Fluorescence (SIF) from ERS-2 GOME, 1995-2003
This dataset provides Level 2 Solar-Induced Fluorescence (SIF) of Chlorophyll estimates derived from the Global Ozone Monitoring Experiment (GOME) instrument on the European Space Agency's (ESA's) European Remote-Sensing 2 (ERS-2) satellite. Each file contains daily raw and bias-adjusted solar-induced fluorescence on an orbital basis (land pixels only), at a resolution of 40 km x 320 km, along with quality control information and ancillary data. Data is provided for the period from 1995-07-01 to 2003-06-22. The GOME SIF product is inherently noisy due to low signal levels and has undergone only a limited amount of validation. This dataset includes both Version 1 and Version 2 files. Version 2 includes new fields such as SIF uncertainties, longitude-latitude corners, and data coverage over ocean. In addition, the SIF bias adjustment differs between Versions 1 and 2. The data are provided in NetCDF format.
Global degradation corrected 0.05 degree GOME-2 SIF datasets (derived from JJ datasets)
<p>8-day instrument degradation corrected 0.05 degree GOME-2 SIF datasets on a global scale from 2010 to 2018. JJ dataset from the spatially downscaled sun-induced fluorescence global product proposed by Gregory Duveiller in 2020 is corrected based on a pseudo-invariant method and then masked. Mean value composite method is used to produce monthly data. Files are organized in TIF format.</p>
Global degradation corrected 0.05 degree GOME-2 SIF datasets (derived from PK datasets)
<p>8-day instrument degradation corrected 0.05 degree GOME-2 SIF datasets on a global scale from 2010 to 2018. PK dataset from the spatially downscaled sun-induced fluorescence global product proposed by Gregory Duveiller in 2020 is corrected based on a pseudo-invariant method and then masked. Mean value composite method is used to produce monthly data. Files are organized in TIF format.</p>
Global 3-Year Running Mean Ground-Level Nitrogen Dioxide (NO2) Grids from GOME, SCIAMACHY and GOME-2
The Global 3-Year Running Mean Ground-Level Nitrogen Dioxide (NO2) Grids from GOME, SCIAMACHY and GOME-2 represent a series of three-year running mean grids (1996-2012) of ground level NO2 that were derived from Global Ozone Monitoring Experiment (GOME), SCanning Imaging Absorption SpectroMeter for Atmospheric CHartographY (SCIAMACHY) and Global Ozone Monitoring Experiment-2 (GOME-2) satellite retrievals. For each satellite-derived NO2 source, the relationship between satellite observations of tropospheric NO2 column densities and the NO2 concentrations at ground level relevant to human exposure is simulated, using the Goddard Earth Observing System chemical transport model (GEOS-Chem) to produce a mean NO2 concentration raster grid. The grid cell resolution is six arc-minutes (0.1 degree, or approximately 10 km at the equator) covering the global land surface.
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