-
1
Forecasting the effects of climate change on the climatic of the Miahne-city using climate models (SDSM)
Published 2021-12-01“…The climatic parameters of precipitation, temperature and relative humidity of the synoptic station of Miyaneh city during a full period of 32 years (2018-1987) and the possibility of climate change with the models in this city were examined and after obtaining the relevant data Climate change was predicted for the next 84 years through the GCM and SDSM microscale and the AR4 (2007) - HADCM3 (Run 1) - SR-A2 scenarios. …”
Get full text
Article -
2
The Impact of Socio-Economic and Climate Change on Poverty in Indonesia
Published 2024-12-01“…This research wants to examine the impact of socio-economics (economic growth, agricultural sector growth, inequality, inflation) and climate change on poverty. This research uses time series data from 2007 to 2022. …”
Get full text
Article -
3
Machine learning suggests climate and seasonal definitions should change under global warming
Published 2024-11-01Get full text
Article -
4
Farmers’ climate change perception, impacts and adaptation strategies in response to drought in the Northwest area of Bangladesh
Published 2025-04-01“…A better comprehension of farmers’ perceptions concerning climate change and variability, existing adaptation measures, and the factors influencing them will be important to implementing better policies for the future adaptation of the agricultural industry (Nhemachena and Hassan 2007). …”
Get full text
Article -
5
Machine Learning and hybrid models for assessing climate change impacts on runoff in the Kasilian catchment, Northern Iran
Published 2024-12-01“…Input variables (temperature and rainfall) were generated using LARS-WG software, incorporating five climate models and the SSP585 scenario for future climate change studies. …”
Get full text
Article -
6
-
7
-
8
Monitoring the impact of global warming on wheat cultivation in the Mughan Plain (Germi) Using the atmospheric circulation model
Published 2023-03-01“…In this study, in order to monitor the effect of global warming on Mughan Plain wheat, using the LARS-WG model as a relatively inexpensive and accurate instrument for producing climate multi-yearly climate change scenarios On a daily basis, In Ardabil province, Germi Station was selected as the representative of the three stations in the study area due to the data in the appropriate statistical period. …”
Get full text
Article -
9
Climate change rivals fertilizer use in driving soil nitrous oxide emissions in the northern high latitudes: Insights from terrestrial biosphere models
Published 2025-02-01“…Factorial simulations were conducted to disentangle the contributions of key driving factors, including climate change, nitrogen inputs, land use change, and rising atmospheric CO2 concentration, to the trends in emissions. …”
Get full text
Article -
10
-
11
Trends in Snag Populations in Drought-Stressed Mixed-Conifer and Ponderosa Pine Forests (1997–2007)
Published 2012-01-01“…Increases in snag abundance may benefit some species of native wildlife in the short-term by providing increased foraging and nesting resources, but these increases may be unsustainable in the long term. Observed changes in snag recruitment and fall rates during the study illustrate the difficulty involved in modeling dynamics of those populations in an era of climate change and changing land management practices.…”
Get full text
Article -
12
-
13
Contribution of Ambient Ozone to Changes in Scots Pine Defoliation. Step II of Lithuanian Studies
Published 2007-01-01Get full text
Article -
14
Variations of the Reference Evapotranspiration and Aridity Index Over Northeast China: Changing Properties and Possible Causes
Published 2019-01-01“…Temporal and spatial variations in reference evapotranspiration (ET0) and aridity index (AI) can be used as important indexes for understanding climate change and its effects on ecosystem stability. …”
Get full text
Article -
15
-
16
Changes in Different Classes of Precipitation and the Impacts on Sediment Yield in the Hekouzhen-Longmen Region of the Yellow River Basin, China
Published 2018-01-01“…The sediment yield of the Yellow River Basin has obviously decreased since the 1980s, and the impacts of precipitation on sediment yield changes have become increasingly important with the global climate change. …”
Get full text
Article -
17
Analysis of SO2 Pollution Changes of Beijing-Tianjin-Hebei Region over China Based on OMI Observations from 2006 to 2017
Published 2018-01-01“…Sulfur dioxide (SO2) in the planetary boundary layer (PBL) as a kind of gaseous pollutant has a strong effect regarding atmospheric environment, air quality, and climate change. As one of the most polluted regions in China, air quality in Beijing-Tianjin-Hebei (BTH) region has attracted more attention. …”
Get full text
Article -
18
-
19
-
20