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Can environmental regulation promote the green output bias in China’s mariculture?
The green output bias of technological progress is the key factor driving the green transformation of mariculture. This study considers whether...
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Regional climate models and bias correction methods for rainfall-runoff modeling in Katar watershed, Ethiopia
Systematic errors in regional climate models (RCMs) hinder their implementation and lead to uncertainties in regional hydrological climate change...
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Potential types of bias when estimating causal effects in environmental research and how to interpret them
To inform environmental policy and practice, researchers estimate effects of interventions/exposures by conducting primary research (e.g., impact...
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Differing field methods and site conditions lead to varying bias in suspended sediment concentrations in the Lower Mississippi and Atchafalaya Rivers
At sites that have been sampled for decades, changes in field and laboratory methods happen over time as instrumentation and protocols improve. Here,...
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Lapse rate-adjusted bias correction for CMIP6 GCM precipitation data: An application to the Monsoon Asia Region
Bias correction (BC) of General Circulation Models (GCMs) variables is a common practice when it is being used for climate impact assessment studies...
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Quantitative evidence synthesis: a practical guide on meta-analysis, meta-regression, and publication bias tests for environmental sciences
Meta-analysis is a quantitative way of synthesizing results from multiple studies to obtain reliable evidence of an intervention or phenomenon....
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A spatial and temporal assessment of nonresponse in the national forest inventory of the U.S
In nearly all national forest inventories (NFI), some sample plots are unable to be measured such that nonresponse may be an issue of concern. Thus,...
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A Bayesian hierarchical spatio-temporal model for summer extreme temperatures in Spain
A statistical study was made of the summer extreme temperatures over peninsular Spain in the last forty years. Records from 158 observatories...
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Bias-corrected climate change projections over the Upper Indus Basin using a multi-model ensemble
The study projects climate over the Upper Indus Basin (UIB), covering geographic areas in India, Pakistan, Afghanistan, and China, under the two...
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Spatio-temporal correspondence of aerosol optical depth between CMIP6 simulations and MODIS retrievals over India
In the present work, the aerosol optical depth (AOD) at 550 nm of the moderate resolution imaging spectroradiometer (MODIS) onboard the Terra...
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The carbon emission reduction effect of digital finance: a spatio-temporal heterogeneity perspective
This study constructs a geographically and temporally weighted regression model to investigate the spatio-temporal heterogeneity effect of digital...
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Spatial pattern of bias in areal rainfall estimations and its impact on hydrological modeling: a comparative analysis of estimating areal rainfall based on radar and weather station networks in South Korea
Areal rainfall is routinely estimated based on the observed rainfall data using distributed point rainfall gauges. However, the data collected are...
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Dynamic clustering of spatial–temporal rainfall and temperature data over multi-sites in Yemen using multivariate functional approach
Analyzing Multivariate Functional Data (MFD) presents growing challenges in the context of climate change modeling due to many issues, such as coarse...
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Self-attention (SA) temporal convolutional network (SATCN)-long short-term memory neural network (SATCN-LSTM): an advanced python code for predicting groundwater level
Groundwater level prediction is important for effective water management. Accurately predicting groundwater levels allows decision-makers to make...
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Can Turbidity Data from Remote Sensing Explain Modelled Spatial and Temporal Sediment Loading Patterns? An Application in the Lake Tana Basin
Understanding the spatial and temporal patterns of sediment loading in water bodies is crucial for effective water quality management. Remote sensing...
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The mechanisms and spatial-temporal effects of farmland spatial transition on agricultural carbon emission: based on 2018 counties in China
Agricultural carbon emission reduction is an important issue in environmental protection and development in China and the world. The farmland spatial...
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Principles and framework for assessing the risk of bias for studies included in comparative quantitative environmental systematic reviews
The internal validity of conclusions about effectiveness or impact in systematic reviews, and of decisions based on them, depends on risk of bias...
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Carbon emissions trading scheme and regional total factor carbon productivity: based on temporal-spatial dual perspectives
The carbon emissions trading scheme (CETS) in China is an important market-based environmental policy mechanism for decreasing carbon emissions. This...
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Temporal downscaling of precipitation from climate model projections using machine learning
Increased greenhouse gas concentration in the atmosphere has led to significant climate warming and changes in precipitation and temperature...
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Spatial–temporal distribution and source analysis of atmospheric particulate-bound cadmium from 1998 to 2021 in China
Cadmium (Cd) is one of the most serious atmospheric heavy metal pollutants in China. PM 2.5 , PM 10 , and total suspended particle (TSP) are all...
