Estimating daily evapotranspiration in the agricultural-pastoral ecotone in Northwest China: A comparative analysis of the Complementary Relationship, WRF-CLM4.0, and WRF-Noah methods

Xu, Xuefeng; Li, Xuliang; Wang, Xuejin; He, Chansheng; Tian, Wei; Tian, Jie; Yang, Liu

doi:10.1016/j.scitotenv.2020.138635

Cited by 20 publications

(12 citation statements)

References 58 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This study used two different LSMs coupled in the WRF model, that is, Noah and CLM. Although many previous studies have compared the performance of these two LSMs from different perspectives (Chen et al., 2014a; Jin et al., 2010; Xu et al., 2020), there are still few analyses of these schemes in the context of UHI effects and urban convection, especially for the rapidly urbanizing regions like the PRD. The Noah scheme, one of the “second‐generation” LSMs, has one canopy layer and four soil layers to capture the temperature and moisture for surface energy budgets.…”

Section: Model Description and Verification Methodsmentioning

confidence: 99%

Impact of Land Surface Processes on a Record‐Breaking Rainfall Event on May 06–07, 2017, in Guangzhou, China

et al. 2021

View full text Add to dashboard Cite

A record‐breaking extreme rainfall event with a maximum rainfall amount over 24 h of 524.1 mm occurred in Guangzhou, China, on May 06–07, 2017. To study the impact of land surface processes on this extreme rainfall, two 21‐member convective‐permitting ensemble forecasts over South China were performed based on two land surface models (LSMs), Noah and Community Land Model (CLM), and 21 forecasting members of the Global Ensemble Forecast System (GEFS). The results showed that, in general, members using the Noah LSM could better simulate urban heat islands (UHIs) and urban convection than members using the CLM LSM in this case. By investigating the ensemble member that most resembled the observations, it was found that the high temperature center in the urban area caused a thermal low in the early stage. As the southerly winds strengthened, the low‐level convergence line continued moving northward and eventually triggered convection in the mountainous region. A sensitivity experiment showed that the impact of land surface heterogeneity on precipitation could be reflected on a finer scale, and heavy rainfall was very sensitive to the changes in small‐scale land surface forces, including terrain and land use. Slight variations in small‐scale land surface conditions caused great responses in the total precipitation, indicating that for the occurrence of such quasi‐stationary extreme rainfall, a subtle balance between different atmospheric and land surface factors may be required.

show abstract

Section: Model Description and Verification Methodsmentioning

confidence: 99%

Impact of Land Surface Processes on a Record‐Breaking Rainfall Event on May 06–07, 2017, in Guangzhou, China

et al. 2021

View full text Add to dashboard Cite

show abstract

“…The Yuyang District is located at 37.81 • -38.92 • N, 108.94 • -110.41 • E (Figure 1), Shaanxi Province, China, and covers a total area of~7000 km 2 . This area is part of the ecologically fragile transition zone between the desert-grassland area and the Loess Plateau region [13,[49][50][51][52]. The region has a semi-arid continental monsoon climate, with an average annual temperature of 8.4 • C and an average annual precipitation of 402 mm that gradually decreases from the southeast to northwest.…”

Section: Study Areamentioning

confidence: 99%

“…Evapotranspiration (ET) is a key linchpin of the Earth's hydrological cycle and energy balance system [10]. The accurate estimation of regional ET is crucial for water resources management, agricultural production, and ecosystem protection, particularly in water-scarce regions [11][12][13]. Owing to the limitations of the equipment and resource constraint, ground measurements of ET over large scales are nearly impossible.…”

Section: Introductionmentioning

confidence: 99%

Assessing the Effects of Spatial Scales on Regional Evapotranspiration Estimation by the SEBAL Model and Multiple Satellite Datasets: A Case Study in the Agro-Pastoral Ecotone, Northwestern China

Wang

et al. 2021

Remote Sensing

Self Cite

View full text Add to dashboard Cite

Evapotranspiration (ET) estimation is important for understanding energy exchanges and water cycles. Remote sensing (RS) is the main method used to obtain ET data over large scales. However, owing to surface heterogeneities and different model algorithms, ET estimated from RS products with different spatial resolutions can cause significant uncertainties, whose causes need to be thoroughly analyzed. In this study, the Surface Energy Balance Algorithm for Land (SEBAL) model was selected to explore spatial resolution influences on ET simulations. Three satellite datasets (Landsat Thematic Mapper (TM), Moderate Resolution Imaging Spectroradiometer (MODIS), and Advanced Very High-Resolution Radiometer (AVHRR)) were selected to independently estimate ET in SEBAL model to identify the influence of the spatial scale on ET estimation, and analyze the effects and causes of scale aggregation. Results indicated that: (1) the spatial distributions of ET estimated from the three satellite datasets were similar, with the MODIS-based ET having the largest uncertainty; and (2) aggregating input parameters had limited changes in the net radiation and soil heat fluxes. However, errors in the sensible heat and latent heat fluxes were relatively larger, which were caused by changes in the selection of hot and cold pixels and the NDVI and surface albedo parameters during scale aggregation. The scale errors caused by the model mechanisms were larger than those caused by the land use/cover pattern in the SEBAL model. Overall, this study highlights the impact of spatial scale on ET and provides a better understanding of the scale aggregation effect on ET estimation by RS.

show abstract

“…provides an accurate and internally-consistent version of evapotranspiration directly (Lawrence et al, 2011;X. Xu et al, 2020), whereas SPEI would require an empirical calculation of potential evapotranspiration (ET0).…”

Section: Drought Indicesmentioning

confidence: 99%

“…Therefore, here we examine a modified version of SPI which instead uses net precipitation in place of actual precipitation (hereafter referred to as standardized net precipitation index, SNPI). We choose not to employ Standardized Precipitation Evapotranspiration Index (SPEI) (Vicente‐Serrano et al., 2010) since WRF‐CLM4 provides an accurate and internally consistent version of evapotranspiration directly (Lawrence et al., 2011; Xu et al., 2020), whereas SPEI would require an empirical calculation of potential evapotranspiration (ET0). Past work has also illustrated that over sufficiently wet regions SNPI and SPEI are largely indistinguishable (Beguería et al., 2014; Joetzjer et al., 2012).…”

Section: A Simulation Of Present and Future Analogs Of The 1960s Droughtmentioning

confidence: 99%

A Retrospective and Prospective Examination of the 1960s U.S. Northeast Drought

Xue

Ullrich

2021

Earth's Future

View full text Add to dashboard Cite

As the most severe drought over the Northeastern United States (NEUS) in the past century, the 1960s drought had pronounced socioeconomic impacts. Although it was followed by a persisting wet period, the conditions leading to the 1960s extreme drought could return in the future, along with its challenges to water management. To project the potential consequences of such a future drought, pseudo-global warming simulations using the Weather Research and Forecasting Model are performed to simulate the dynamical conditions of the historical 1960s drought, but with modified thermodynamic conditions under the shared socioeconomic pathway SSP585 scenario in the early (2021-2027), middle (2041-2047) and late (2091-2097) 21st century. Our analysis focuses on essential hydroclimatic variables including temperature, precipitation, evapotranspiration, soil moisture, snowpack and surface runoff. In contrast to the historical 1960s drought, similar dynamical conditions will generally produce more precipitation, increased soil moisture and evapotranspiration, and reduced snowpack. However, we also find that although wet months get much wetter, dry months may become drier, meaning that wetting trends are most significant in wet months but are essentially negligible for extremely dry months with negative monthly mean net precipitation. For these months, the trend towards wetting conditions provides little relief from the effects of extreme dry months. These conditions may even aggravate water shortages due to an increasingly rapid transition from wet to dry conditions. Other challenges emerge for residents and stakeholders in this region, including more extreme hot days, record-low snow pack, frozen ground degradation and subsequent decreases in surface runoff.

show abstract

Estimating daily evapotranspiration in the agricultural-pastoral ecotone in Northwest China: A comparative analysis of the Complementary Relationship, WRF-CLM4.0, and WRF-Noah methods

Cited by 20 publications

References 58 publications

Impact of Land Surface Processes on a Record‐Breaking Rainfall Event on May 06–07, 2017, in Guangzhou, China

Impact of Land Surface Processes on a Record‐Breaking Rainfall Event on May 06–07, 2017, in Guangzhou, China

Assessing the Effects of Spatial Scales on Regional Evapotranspiration Estimation by the SEBAL Model and Multiple Satellite Datasets: A Case Study in the Agro-Pastoral Ecotone, Northwestern China

A Retrospective and Prospective Examination of the 1960s U.S. Northeast Drought

Contact Info

Product

Resources

About