Global land 1° mapping dataset of XCO2 from satellite observations of GOSAT and OCO-2 from 2009 to 2020
ABSTRACT A global mapping data of atmospheric carbon dioxide (CO2) concentrations can
help us to better understand the spatiotemporal variations of CO2 and the driving factors of …
help us to better understand the spatiotemporal variations of CO2 and the driving factors of …
Examining the role of the main terrestrial factors won the seasonal distribution of atmospheric carbon dioxide concentration over Iran
Global warming is one of the most important environmental issues from the last few decades
and is causing climate change due to carbon dioxide (CO2) emissions and other …
and is causing climate change due to carbon dioxide (CO2) emissions and other …
Analyzing spatio-temporal patterns in atmospheric carbon dioxide concentration across Iran from 2003 to 2020
Adapting to climate change as a consequence of increasing greenhouse gas (GHG)
emissions is of paramount importance in the near future. Therefore, recognition of spatial …
emissions is of paramount importance in the near future. Therefore, recognition of spatial …
Evaluation of groundwater levels in the Arapahoe aquifer using spatiotemporal regression kriging
CJ Ruybal, TS Hogue… - Water Resources Research, 2019 - Wiley Online Library
Groundwater monitoring is fundamental to understanding system dynamics, trends in
storage, and the long‐term sustainability of an aquifer. Water‐level data are the key source …
storage, and the long‐term sustainability of an aquifer. Water‐level data are the key source …
Reconstructing annual XCO2 at a 1 km× 1 km spatial resolution across China from 2012 to 2019 based on a spatial CatBoost method
C Wu, Y Ju, S Yang, Z Zhang, Y Chen - Environmental Research, 2023 - Elsevier
Abstract Long-time-series, high-resolution datasets of the column-averaged dry-air mole
fraction of carbon dioxide (XCO 2) have great practical importance for mitigating the …
fraction of carbon dioxide (XCO 2) have great practical importance for mitigating the …
Spatial and Temporal Variations of Atmospheric CH4 in Monsoon Asia Detected by Satellite Observations of GOSAT and TROPOMI
H Song, M Sheng, L Lei, K Guo, S Zhang, Z Ji - Remote Sensing, 2023 - mdpi.com
Space-based measurements, such as the Greenhouse gases Observing SATellite (GOSAT)
and the TROPOspheric Monitoring Instrument (TROPOMI) aboard the Sentinel-5 Precursor …
and the TROPOspheric Monitoring Instrument (TROPOMI) aboard the Sentinel-5 Precursor …
Detecting the Responses of CO2 Column Abundances to Anthropogenic Emissions from Satellite Observations of GOSAT and OCO-2
The continuing increase in atmospheric CO2 concentration caused by anthropogenic CO2
emissions significantly contributes to climate change driven by global warming. Satellite …
emissions significantly contributes to climate change driven by global warming. Satellite …
Spatio-Temporal Mapping of Multi-Satellite Observed Column Atmospheric CO2 Using Precision-Weighted Kriging Method
Column-averaged dry air mole fraction of atmospheric CO2 (XCO2), obtained by multiple
satellite observations since 2003 such as ENVISAT/SCIAMACHY, GOSAT, and OCO-2 …
satellite observations since 2003 such as ENVISAT/SCIAMACHY, GOSAT, and OCO-2 …
Urban expansion patterns of 291 Chinese cities, 1990–2015
China has experienced rapid and massive urban expansion in recent decades. To address
the opportunities and challenges posed by urbanization, it is important to investigate this …
the opportunities and challenges posed by urbanization, it is important to investigate this …
Spatiotemporal variation analysis of global XCO2 concentration during 2010–2020 based on DINEOF-BME framework and wavelet function
Z Gao, Y Jiang, J He, J Wu - Science of The Total Environment, 2023 - Elsevier
Combining with Carbon dioxide column concentration (XCO 2) remote sensing data, it is of
great scientific significance to obtain XCO 2 long time series data with high precision and …
great scientific significance to obtain XCO 2 long time series data with high precision and …