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5 results for “GOSAT XCO2”
SRON Scientific GOSAT-2 Level 2 Data Products for XCO2 and XCH4
<div> <div>Anthropogenic emissions of greenhouse gases such as carbon dioxide and methane over the last century have led to the rapid rise of concentrations of these gases in the Earth's atmosphere, leading to continually increasing surface temperature. The ramifications of a warming climate are serious, with significant negative implications projected well into the future. Consequently, concentrations (or column-averaged dry air mole fractions) of CO2 and CH4, denoted XCO2 and XCH4 respectively, have been classed as Essential Climate Variables.</div> <div> </div> <div>The EU's Copernicus Climate Change Service (C3S) supports climate adaptation and mitigation policies regarding the impact of climate change by offering free and open access to climate data and tools. Within this context conentrations of greenhouse gases are made available by the European Union in an operational manner from a suite of different satellites. The Japanese Aerospace Exploration Agency (JAXA) satellite GOSAT-2 was launched in 2018 with the aim of measuring XCO2 and XCH4 (along with carbon monoxide, nitrous oxide and water vapour). It is the successor to GOSAT (The Greenhouse Gases Observing Satellite), the first satellite dedicated to the observation of greenhouse gases, launched in 2009.</div> <div> </div> <div>Here we provide conentrations of CO2 and CH4 in the form of level 2 data products retrieved from L1b radiance spectra from GOSAT-2, as part of project C3S2_313a. XCO2 and XCH4 are retrieved with the RemoTeC algorithm to compose the SRON GOSAT-2 scientific products. Three products are availabe, two for XCH4 and one for XCO2, and all are contained in this repository. Please see the README for more information on the prodcuts themselves. The user may choose which data to download. One zip file is available per year of data per product. </div> <div> </div> <div>For citation, users are requested to make reference to the DOI of the specific product version available at this repository, in case of any publication resulting from the use of these data.</div> <div> </div> <div>C3S is a programme of the European Union being funded by the European Union (EU) and implemented by the European Centre for MediumRange Weather Forecasts (ECMWF). This document was produced with funding by the European Union. Views and opinions expressed are those of the author(s) only and the European Commission and ECMWF cannot be held responsible for any use which may be made of the information contained therein.</div> </div>
A ten-year (2010-2019) global terrestrial NEE inferred from the GOSAT v9 XCO2 retrievals (GCAS2021)
<p>Top-down atmospheric inversion is one of the major methods to estimate the global NEE. Here, by assimilating the GOSAT ACOS v9 XCO<sub>2</sub> product, we generate a ten-year (2010–2019) global monthly terrestrial NEE dataset using the Global Carbon Assimilation System, version 2 (GCASv2), which is named as GCAS2021. It includes(1) monthly and annual prior and posterior NEE and OCN fluxes, and prescribed FIRE and FFC emissions in a global spatial resolution of 1°×1°; (2) globally, latitudinally, and regionally aggregated monthly and annual posterior NEE and NBE, and their uncertainties; and (3) weekly gridded ensemble members of posterior NEE and OCN fluxes. The regional fluxes are aggregated both in the TRANSCOM and RECCAP2 regions. The latitudinal fluxes are aggregated in northern mid-high latitudes (> 30° N, NL), low latitudes (30° S ~ 30° N, TL), and southern middle latitudes (<30° N, SL). The weekly grided ensemble members could be used for calculating the posterior uncertainties of the user's area and time scale. </p> <p>Combining the OCN flux, and FIRE and FFC emissions, the net biosphere flux (NBE) and atmospheric growth rate (AGR) as well as their inter-annual variabilities (IAVs) agree well with the estimates of Global Carbon Budget 2020. Regionally, GCAS2021 shows that eastern North America, Amazon, Congo Basin, Europe, boreal forests, southern China and Southeast Asia are carbon sinks, while western US, African grasslands, Brazilian plateaus and parts of South Asia are carbon sources. In the TRANSCOM land regions, the NBEs of temperate N. America, northern Africa and boreal Asia are between the estimates of CMS-Flux NBE 2020 and CT2019B, and those in temperate Asia, Europe, and Southeast Asia are consistent with CMS-Flux NBE 2020 but significantly different from CT2019B. In the RECCAP2 regions, except for Africa and South Asia, the NBEs are comparable with the latest bottom-up estimate of Ciais et al. (2021). Compared with previous studies, the IAVs and seasonal cycles of NEE of this dateset could clearly reflect the impacts of extreme climates and large-scale climate anomalies on the carbon flux. The evaluations also show that the posterior CO<sub>2</sub> concentrations at remote sites and in regional scale, as well as on vertical CO<sub>2</sub> profiles in the Asia-Pacific region and the Amazon basin, are all consistent with independent CO<sub>2</sub> measurements from surface flask and aircraft CO<sub>2</sub> observations, indicating that this dataset captures surface carbon fluxes well. We believe that this data set will contribute to regional or national-scale carbon cycle and carbon neutrality assessment, and carbon dynamics research.</p>
Global long-term (2010-2020) daily seamless fused XCO2 and XCH4 from GOSAT, OCO-2, and CAMS-EGG4
<p>A novel spatiotemporally self-supervised fusion method is proposed to establish long-term daily seamless XCO<sub>2</sub> and XCH<sub>4</sub> products from 2010 to 2020 over the globe at grids of 0.25°. More details are provided in https://doi.org/10.5194/essd-2023-28.</p>
A robust estimate of continental-scale terrestrial carbon sinks using GOSAT XCO2 retrievals
<p>The dataset contains monthly terrestrial ecosystem carbon fluxes (NEE) for 51 terrestrial regions from 2011-2014. We used simulations from 12 terrestrial biosphere models (TBMs) as the prior carbon fluxes, therefore the posterior carbon fluxes correspond to the 12 TBMs.</p>
ACOS GOSAT/TANSO-FTS Level 2 bias-corrected XCO2 and other select fields from the full-physics retrieval aggregated as daily files V9r (ACOS_L2_Lite_FP) at GES DISC
Version 9r is the current version of the data set. Older versions will no longer be available and are superseded by Version 9r.The ACOS Lite files contain bias-corrected XCO2 along with other select fields aggregated as daily files. Orbital granules of the ACOS Level 2 standard product (ACOS_L2S) are used as input. The "ACOS" data set contains Carbon Dioxide (CO2) column averaged dry air mole fraction for all soundings for which retrieval was attempted. These are the highest-level products made available by the OCO Project, using TANSO-FTS spectral radiances.The GOSAT team at JAXA produces GOSAT TANSO-FTS Level 1B (L1B) data products for internal use and for distribution to collaborative partners, such as ESA and NASA. These calibrated products are augmented by the OCO Project with additional geolocation information and further corrections. Thus produced Level 1B products (with calibrated radiances and geolocation) are the input to the "ACOS" Level 2 production process.
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