Jiming Jin's research while affiliated with Yangtze University and other places
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Publications (101)
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Assessing the spatiotemporal patterns, exposure risks and sustainability of PM2.5 pollution from multi–scale spatial and temporal characteristics are relevant for achieving Goal 11.6.2 of the 2030 Agenda for Sustainable Development (assessing the effects of urban fine particulate matter pollution on public health). According to this study, methodol...
The escalating concentration of surface ozone (O3) across China is increasingly highlighting potential threats to public health, ecological balance, and economic sustainability. Using a 1km x 1km dataset of O3 concentrations, this research employs subpopulation demographic data combined with a population-weighted quality model. Its aim is to evalua...
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Quantitative analysis of the complex relationships between meteorological factors and atmospheric pollution under extreme weather conditions is of crucial importance for future climate change assessment and air pollution control policy implementation. In this study, we used a multi-factor generalized additive model (MGAM) to investigate the nonline...
This study aims to simulate the lake ice conditions in the Nam Co lake using a lake ice model, which is a one-dimensional physics-based model that utilizes enthalpy as the predictor variable. We modified the air density schemes within the model to improve the accuracy of the lake ice simulation. Additionally, the process of lake ice sublimation was...
The quantitative assessment of the spatial and temporal variability and drivers of fine particulate matter (PM2.5) fraction concentrations are important for pollution control and public health preservation in China. In this study, we investigated the spatial temporal variation of PM2.5 chemical component based on the PM2.5 chemical component datase...
Based on a near real-time 10 km × 10 km resolution black carbon (BC) concentration dataset, this study investigated the spatial patterns, trend variations, and drivers of BC concentrations in China from 2001 to 2019 with spatial analysis, trend analysis, hotspot clustering, and multiscale geographically weighted regression (MGWR). The results indic...
The quantitative assessment of the spatial and temporal variability and drivers of fine particulate matter (PM 2.5 ) fraction concentrations is important for pollution control and public health preservation in China. In this study, we investigated the spatial temporal variation of PM 2.5 chemical component based on the PM 2.5 chemical component dat...
Developing the engineering design standard of wind speed is a key aspect of the climate
research in the Yangtze River Inland Waterway (YRIW), which is highly sensitive to extreme weather and climate processes. An engineering design wind speed projection model was established to evaluate the distribution of extreme wind speeds in the YRIW region at...
Third Pole natural cascade alpine lakes (NCALs) are exceptionally sensitive to climate change, yet the underlying cryosphere-hydrological processes and associated societal impacts are largely unknown. Here, with a state-of-the-art cryosphere-hydrology-lake-dam model, we quantified the notable high-mountain Hoh-Xil NCALs basin (including Lakes Zonag...
This study aimed to improve runoff simulations and explore deep
soil hydrological processes for a watershed in the center of the Loess
Plateau (LP), China. This watershed, the Wuding River Basin (WRB), has very
complex topography, with soil depths ranging from 0 to 197 m. The
hydrological model used for our simulations was Community Land Model vers...
Water availability in the dry western United States (US) under climate change and increasing water use demand has become a serious concern. Previous studies have projected future runoff changes across the western US but ignored the impacts of ecosystem response to elevated CO2 concentration. Here, we aim to understand the impacts of elevated CO2 on...
Plain Language Summary
Lakes are an important component of arctic ecosystems. Arctic lake thermal processes have recently experienced dramatic changes due to climate warming. Thorough integration of observations and modeling results at the whole‐lake scale is needed to better understand warming effects on arctic lakes. We chose an arctic lake to co...
In this study, we investigated the effects of elevation and precipitation on rice (Oryza sativa L.) production using the Crop Environment Resource Synthesis (CERES)-Rice model in Hubei province, China. We divided our study area into four zones based on elevation and precipitation. For each zone, our simulations were conducted using three planting m...
This study aimed to improve runoff simulations and explore deep soil hydrological processes for a watershed in the center of the Loess Plateau (LP), China. This watershed, the Wuding River Basin (WRB), has very complex topography, with soil depths ranging from 0 to 197 m. The hydrological model used for our simulations was the Community Land Model...
In this study, we developed a realistic irrigation scheme in version 3.6 of the Weather Research and Forecasting model (WRF3.6) with version 4 of the Community Land Model (CLM4) land surface scheme to investigate the effects of cropland irrigation on regional climate in China. Irrigation may occur throughout the year in most croplands with good the...
Climate warming is reshaping the surface water system of the world's polar regions. It results in accelerated glacial retreat and melting, lake expansion, and runoff increasing on the Third Pole of the earth (Tibetan Plateau, TP), triggering massive changes in fluvial geomorphology and in the hydrological connections of rivers and lakes. Here we do...
This study evaluated and improved the ability of the Community Land Model version 5.0 (CLM5.0) in simulating the diurnal land surface temperature (LST) cycle for the whole Tibetan Plateau (TP) by comparing it with Moderate Resolution Imaging Spectroradiometer satellite observations. During daytime, the model underestimated the LST on sparsely veget...
In this study, we investigated the effects of temperature frequency trends on the projected yield and dry matter distribution of japonica rice ( Oryza sativa L.) with elevated carbon dioxide (CO 2 ) under future climate change scenarios in northwestern China. The Crop Environment Resource Synthesis (CERES)-Rice model was forced with the outputs fro...
Water resources are a basic need for social sustainable development and human existence. As an important national strategic base for water resources security, spatial and temporal patterns and driving mechanisms of water yield ecosystem services on the Qingzang Plateau (QP) are critical for water resources management, optimal water allocation and t...
In this study, the crop environment resource synthesis maize (CERES-Maize) model was used to explore the effects of declining sunshine hours (SSH), decreasing daily maximum temperature (Tmax), and cultivar replacements on growth processes and yields of maize in Northern China, a principal region of maize production. SSH were found to decrease at 18...
Abstract Plants are able to adapt to changing environments and thus survive droughts. However, most land surface models produce unrealistically low ecosystem resiliency to droughts, degrading the credibility of the model‐predicted ecohydrological responses to climate change. We aim to enhance the Noah‐MP modeled ecosystem resilience to droughts wit...
Effective thermal conductivity of soils (λeff) is a critical parameter for agriculture, environment science, and engineering. Functions to estimate λeff from readily available soil properties, known as soil thermal conductivity (STC) schemes, are needed by land-surface models (LSMs), hydrological models, and soil-vegetation-atmosphere transfer (SVA...
In this study, we investigated the effects of lakes in the Tibetan Plateau (TP) on diurnal variations of local climate and their seasonal changes by using the Weather Research and Forecasting (WRF) model coupled with a one-dimensional physically based lake model. We conducted WRF simulations for the TP over 2000-2010, and the model showed excellent...
Water scarcity is a significant risk for meeting increasing food demand around the world. The importance of identifying the driving forces behind water consumption in agriculture and relative virtual water (VW) flows has been widely reported in order to provide practical advice for regional sustainable agricultural water resource management. Howeve...
Water stress in different maize growth stages has different effects on maize growth and development. Accurately simulating these effects with a maize model are important to agriculture water management and savings. The objective of this study was to improve the performance of the Crop-Environment Resource Synthesis Maize (CERES-Maize) model for sim...
This study used the Crop Environment Resource Synthesis (CERES)-Wheat model to explore the impact of parameter uncertainty and model structure on model output. We obtained observational and management data for winter wheat growth from an experiment conducted in Yangling, China, over 2012/13 and 2013/14, which we used for model input and evaluation....
This study is intended to simulate and better understand mean and extreme precipitation over the Loess Plateau (LP) in China using the Weather Research and Forecasting (WRF) model. We performed a long-term (1980–2011) simulation with the WRF model at a 10 km horizontal resolution, forced by the ERA-Interim reanalysis. A series of sensitivity experi...
We improved lake mixing process simulations by applying a vertical mixing scheme, K profile parameterization (KPP), in the Community Land Model (CLM) version 4.5, developed by the National Center for Atmospheric Research. Vertical mixing of the lake water column can significantly affect heat transfer and vertical temperature profiles. However, the...
This study developed an improved vegetation emissivity scheme for the Community Land Model (CLM) version 4.5 to more accurately simulate the effects of vegetation emissivity on snow processes in the Northern Hemisphere over winter and spring. The original scheme of vegetation emissivity in CLM produced an unreasonably low vegetation emissivity with...
In this study, we coupled the two-layer one-dimensional Freshwater lake (FLake) model into the Climate Forecast System (CFS) version 2 to improve simulations of the effects of the Great Lakes on winter climate forecasts in that region. We first incorporated global lake fraction and depth data into the coupled CFS-FLake through a subgridding system....
In this study, we investigated the effects of water stress on the growth and yield of summer maize (Zea mays L.) over four phenological stages: Seedling, jointing, heading, and grain-filling. Water stress treatments were applied during each of these four stages in a water-controlled field in the Guanzhong Plain, China between 2013 and 2016. We foun...
We improved lake mixing process simulations by applying a vertical mixing scheme, K profile parameterization (KPP), in the Community Land Model (CLM) version 4.5, developed by the National Center for Atmospheric Research. Vertical mixing of the lake water column can significantly affect heat transfer and vertical temperature profiles. However, the...
Many modeling efforts have been made for shallow soil, but little has been done in deep-rooted ecosystems, especially on the long-term impact of deep-rooted vegetation to understand the impact of vegetation type on hydrological processes. In this study, we used the Community Land Model (CLM) version 4.0 to simulate the soil water dynamics and groun...
Climatic elasticity is a crucial metric to assess the hydrological influence of climate change. Based on the Budyko equation, this study performed an analytical derivation of the climatic elasticity of evapotranspiration (ET). With this derived elasticity, it is possible to quantitatively separate the impacts of precipitation, air temperature, net...
Understanding hydrological responses to climate change and land use and land cover change (LULCC) is important for water resource planning and management, especially for water-limited areas. The annual streamflow of the Wuding River Watershed (WRW), the largest sediment source of the Yellow River in China, has decreased significantly over the past...
Deep drainage, defined as the water flux below the plant root zone, is
potential groundwater recharge in arid and semiarid regions, but remains poorly
understood. This study aims to explore long-term (1901–2015) deep drainage (at 75 m
depth) in a semiarid region with deep unsaturated zone (>90 m depth). For this
purpose, a winter wheat field on...
Because of the high elevation and complex topography of the Tibetan Plateau (TP), the role of lakes in the climate system over the Tibetan Plateau is not well understood. For this study, we investigated the impact of lake processes on local and regional climate using the Weather Research and Forecasting (WRF) model, which includes a one-dimensional...
This study was carried out to quantify the physical processes of lakes in the Tibetan Plateau using the Community Land Model, version 4.5 (CLM4.5), coupled with a physically based, 10-layer lake model developed by the National Center for Atmospheric Research. The CLM was forced with 10 km resolution reanalysis data to attempt to understand detailed...
Because of the high elevation and complex topography of the Tibetan Plateau (TP), the role of lakes in the climate system over the Tibetan Plateau is not well understood. For this study, we investigated the impact of lake processes on local and regional climate using the Weather Research and Forecasting (WRF) model, which includes a one-dimensional...
Projected hydrological variability is important for future
resource and hazard management of water supplies because changes in
hydrological variability can cause more disasters than changes in the mean
state. However, climate change scenarios downscaled from Earth System Models (ESMs) at
single sites cannot meet the requirements of distributed hydr...
A 20-km regional climate model (RCM) dynamically downscaled the Community Climate System Model version 4 (CCSM4) to compare 32-year historical and future “end-of-the-century” climatologies of the North American Monsoon (NAM). CCSM4 and other phase 5 Coupled Model Intercomparison Project models have indicated a delayed NAM and overall general drying...
Projected hydrological variability is important to future water resources management. Such a projection is often driven by downscaled general circulation model variables. This study developed the multisite multivariate climate change scenarios through three steps: (i) spatially downscaling GCMs with a transfer function method, (ii) temporally downs...
A better understanding of the effects of climate change and land use/cover change (LUCC) on streamflow promotes the long-term water planning and management in the arid regions of northwestern China. In this paper, the Soil and Water Assessment Tool (SWAT) and a separation approach were used to evaluate and separate the effects of climate change and...
We assessed the climate-driven changes in ecologically relevant flow regimes expected to occur by the year 2100 in streams across the conterminous United States. We used long-term daily flow measurements from 601 gauged streams whose watersheds were in relatively natural condition to characterize spatial variation in 16 flow regime variables select...
In this study, a new physically based multiscalar drought index, the Standardized Moisture Anomaly Index (SZI), was developed and evaluated, which combines the advantages of the Palmer Drought Severity Index (PDSI) and the Standardized Precipitation Evapotranspiration Index (SPEI). The SZI is based on the water budget simulations produced with a so...
This study investigates how a form of bias correction using linear regression improves the limitations of the community climate system model (CCSM) version 4 when it is dynamically downscaled with the Weather Research and Forecasting (WRF) model for the North American monsoon (NAM). Long-term biases in the CCSM dataset were removed using the climat...
Water shortage has become a significant constraint to grain production in China. A more holistic approach is needed to understand the links between grain production and water consumption. Water footprint provides a framework to assess water utilization in agriculture production. This paper analyzes the spatiotemporal variation in water footprint of...
In this study, we coupled Version 4.0 of the Community Land Model that includes crop growth and management (CLM4crop) into the Weather Research and Forecasting (WRF) model Version 3.3 to better represent interactions between climate and agriculture. We evaluated the performance of the coupled model (WRF3.3-CLM4crop) by comparing simulated crop grow...
Correctly modeling snow is critical for climate models and for hydrologic applications. Snowpack simulated by six land surface models (LSM: Noah, VIC, SAST, LEAF, Noah-MP and CLM) were evaluated against one-year snow water equivalent (SWE) data at 112 SNOTEL sites in the Colorado River Headwaters region and four-year flux-tower data at two AmeriFlu...
Precipitation from the West African Monsoon (WAM) provides food security and supports the economy in the region. As a consequence of the intrinsic complexities of the WAM's evolution, accurate simulations of the WAM and its precipitation regime, through the application of regional climate models, are challenging. We used the coupled Weather Researc...
We use a predictive model of mean summer stream temperature to assess the vulnerability of USA streams to thermal alteration associated with climate change. The model uses air temperature and watershed features (e.g., watershed area and slope) from 569 US Geological Survey sites in the conterminous USA to predict stream temperatures. We assess the...
The main objective of this project was to assess how changes in stream temperature and hydrology associated with global/regional climate change will influence (1) site- and regional-scale biodiversity of stream ecosystems and (2) the performance and interpretation of biological indicators, which are used to determine if streams are meeting the biol...
Background/Question/Methods
Climate change is projected to significantly alter the biodiversity of most ecosystems. In this project, we linked climate, temperature, hydrologic, and species distribution models to examine how stream invertebrate biodiversity in the conterminous USA might respond to climate change (A2 emission scenario) by the end of...
Background/Question/Methods
Stream temperature (ST) is a primary determinant of the distribution of stream species and hence stream community composition. We therefore need ST models that can accurately predict both the current spatial variation in STs as well as how STs will respond (ΔST) to climate change (CC). We used data (yrs 1999-2008) from...
Background/Question/Methods
To understand potential ecological responses to climate change, climate models are needed that can accurately predict how temperature and precipitation vary at ecologically relevant spatial scales (e.g., ~ 4 km). Global climate models predict at coarse scales (e.g., 150 km) and often exhibit significant biases. We used...
Background/Question/Methods
Streamflow is expected to change with climate change, but the pattern of these changes will likely vary across the USA. We characterized streamflow regime based on several independent factors describing different ecologically relevant aspects of the streamflow regime. We also examined trends in streamflow regime variabl...
A one-dimensional (1-D) physically based lake model was coupled to the Weather Research and Forecasting (WRF) model version 3.2 developed by the National Center for Atmospheric Research to dynamically simulate physical processes of lakes and their effects on weather and climate at local and regional scales. Our study area is focused on the Great La...
The authors investigated the accuracy of snow water equivalent (SWE) observations compiled by 748 Snowpack Telemetry stations and attributed the systematic bias introduced to SWE measurements to drifting snow. Often observed, SWE outpaces accumulated precipitation (AP), which can be statistically and physically explained through 1) precipitation un...
Establishing a water-saving planting structure is necessary for the arid, water-deficient regions of northern China and of the world. Optimizing and adjusting a water-saving agricultural planting structure is a typical semi-structured, multi-level, multi-objective group decision-making problem. Therefore, optimization can be best achieved with a sw...
In this chapter, the effects of land-use change and irrigation on local climate are quantified using the Pennsylvania State University/National Center for Atmospheric Research (NCAR) fifth generation Mesoscale Model (MM5) coupled with the Community Land Model version 3 (CLM3). We chose the Central Valley in California as an example. The simulations...
Planting structure influences the economic, social, and ecological benefits of crop farming as well as the use efficiency of water and arable land resources, and so crop planning (CP) benefits for agricultural sustainable development and soil resources utilization. The projection pursuit evaluation (PPE) model is put forward to solve the problem of...
In this study, remotely sensed lake surface temperature (LST) and lake
ice cover (LIC) were integrated into the Advanced Research Weather
Research and Forecasting (WRF) model version 3.2 to evaluate the
simulation of lake-effect precipitation over the Great Lakes region. The
LST was derived from the Moderate Resolution Imaging Spectroradiometer
(MO...
The objective of this study is to better understand and improve snowmelt
simulations in the advanced Weather Research and Forecasting (WRF) model
by coupling it with the Community Land Model (CLM) Version 3.5. Both WRF
and CLM are developed by the National Center for Atmospheric Research.
The automated Snow Telemetry (SNOTEL) station data over the...
