Complementary Relationship for Estimating Evapotranspiration
Using the Granger-Gray Model: Improvements and Comparison
with a Remote Sensing Method

Kim, Homin; Kaluarachchi, Jagath J.

doi:10.5194/hess-2017-346

Cited by 3 publications

(13 citation statements)

References 26 publications

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“…The model of Kim and Kaluarachchi (2017a) was validated using measured ET from 75 AmeriFlux sites and showed the lowest mean Root Mean Square Error (RMSE) compared to the Complementary Relationship Areal Evapotranspiration or commonly known as the CRAE method , the Advection-Aridity model , the modified GG model of , and recent studies Thompson et al, 2011). Moreover, Kim and Kaluarachchi (2017b) further validated the modified GG model of through a direct comparison with a remote sensing methodology, the operational Simplified Surface Energy Balance (SSEBop) model . This work improved the model to overcome the symmetric behavior assumption of the complementary relationship.…”

Section: Complementary Relationshipmentioning

confidence: 85%

“…This work improved the model to overcome the symmetric behavior assumption of the complementary relationship. These results indicate that the model of Kim and Kaluarachchi (2017b) can be used as an accurate and a reliable method to estimate ET under a variety of climatic and physical conditions including severe arid conditions.…”

Section: Complementary Relationshipmentioning

confidence: 87%

“…However, argued that the symmetric relationship between evapotranspiration and potential evapotranspiration is only true when the temperature is near 6 ˚C, and proposed an improved complementary relationship using the psychrometric constant and the slope of the saturation vapor pressure curve (widely known as the GG model). Later, many studies demonstrated the performance of GG model in wide range of surface and atmospheric conditions Kim and Kaluarachchi, 2017a;2017b;Szilagyi and Jozsa, 2008). The model of Kim and Kaluarachchi (2017a) was validated using measured ET from 75 AmeriFlux sites and showed the lowest mean Root Mean Square Error (RMSE) compared to the Complementary Relationship Areal Evapotranspiration or commonly known as the CRAE method , the Advection-Aridity model , the modified GG model of , and recent studies Thompson et al, 2011).…”

Section: Complementary Relationshipmentioning

confidence: 99%

“…presented that k can be around 5, and extended the asymmetric complementary relationship based on the study of . Recently, Kim and Kaluarachchi (2017b) proposed the exponential correction function and demonstrated that the inclusion of relative evaporation with the newly proposed correction function greatly improved the performance. The ET model of Kim and Kaluarachchi (2017b) is described in Eq.…”

Section: Complementary Relationshipmentioning

confidence: 99%

“…Correlation coefficient between EWDI-mod and EWDI-ndvi and USDM. EWDImod represents EWDI using the modified GG and EWDI-ndvi represents EWDI using GG-NDVI (Kim and Kaluarachchi, 2017b). The area-averaged correlation coefficient over all pixels for EWDI-mod and EWDIndvi is 0.…”

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confidence: 99%

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Estimating evapotranspiration using the complementary relationship and the Budyko framework

Kim

Kaluarachchi

2017

Journal of Water and Climate Change

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Evapotranspiration is the single most important mechanism of mass and energy exchange between atmosphere, biosphere, and hydrosphere. Among the common approaches to estimating evapotranspiration, the complementary relationship has been the subject of many recent studies given its simplicity and the use of meteorological data only. Recently, a modified version of the complementary relationship, Modified GG, was developed using meteorological data only and had been successfully applied at 34 diverse global sites to provide more accurate information of evapotranspiration. However, the complementary relationship including Modified GG showed weak performance under dry conditions. This dissertation addressed this limitation of the complementary relationship using the Budyko hypothesis and extended its application to drought monitoring. between ET and potential ET (ETP) has been the subject of many studies because it uses only meteorological data as inputs. However, there is an increasing concern that some complementary relationship models perform poorly under dry conditions. To overcome this limitation, this dissertation was designed to extend the latest complementary relationship model, Modified GG, using both meteorological data and vegetation information, NDVI, which is readily available from remote sensing data. The proposed model, Adjusted GG-NDVI, was validated by comparing to other ET models and measured ET data. With Adjusted GG-NDVI, this dissertation addressed the applicability of using ET as a proxy for drought monitoring. As a result, the drought patterns from the proposed drought index, EWDI, were consistent with commonly used USDM in the United States. More importantly, this study described drought conditions by comprehensively considering both precipitation and vegetation conditions. Taken together, these findings have significant implications for the understanding of how ET can assist in water resources management.

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Section: Complementary Relationshipmentioning

confidence: 85%

Section: Complementary Relationshipmentioning

confidence: 87%

Section: Complementary Relationshipmentioning

confidence: 99%

Section: Complementary Relationshipmentioning

confidence: 99%

mentioning

confidence: 99%

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Estimating evapotranspiration using the complementary relationship and the Budyko framework

Kim

Kaluarachchi

2017

Journal of Water and Climate Change

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Modelling green roof potential to mitigate urban flooding in a Chinese city

Liu

Sun²,

Niu³

et al. 2020

Preprint

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The Middle and Lower Reaches of the Yangtze River (MLRYR) region, which has humid subtropical climate conditions and unique plum rain season, is characterized by a simultaneous high-frequency urban flooding and reduction in groundwater levels. Retrofitting the existing buildings into green roofs is a promising approach to combat urban flooding, especially for a densely developed city. Here, the application potential of the Green Roof System (GRS) and the Improved Green Roof System (IGRS) that designed to divert overflowing water from green roofs to recharge groundwater were analyzed in such a densely developed city, Nanchang, China. The performances of the GRS and the IGRS were evaluated using the United States Environmental Protection Agency (USEPA) Storm Water Management Model (SWMM). The simulation results show that in single precipitation events about 41-75% of precipitation could be retained in the GRS depending on precipitation intensity. In 10-and 100-yr precipitation events, the flooding volumes in the GRS region are 82% and 28% less than those of Traditional Roof System (TRS), respectively. For the first time, the influence of GRS on the hydraulic condition of CSS / SWS (Combined Sewage System / Storm Water System) is analyzed, which is a direct reflection of the effect of GRS on alleviating urban flooding. Recognizing the limitation of SWMM, five methods have been used to comprehensively analyze the evapotranspiration process of GRS. The evapotranspiration of the GRS retained water could account for 39% of annual precipitation. Although the IGRS could lead to a higher immediate flood loading (about 20-27%) than the GRS, it could divert more precipitation (more than 10% of the annual precipitation) into the greenbelts, thus significantly increase groundwater recharge. We may conclude that the widespread implementation of both the GRS and the IGRS in Nanchang and other densely developed cities in the MLRYR region could significantly reduce surface and peak runoff rates. In particular, the IGRS can provide more hydrological benefits than the GRS under the same climate conditions.

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Modeling Green Roof Potential to Mitigate Urban Flooding in a Chinese City

Liu

Sun

Niu

et al. 2020

Water

View full text Add to dashboard Cite

The Middle and Lower Reaches of the Yangtze River (MLRYR) region, which has humid subtropical climate conditions and unique plum rain season, is characterized by a simultaneous high-frequency urban flooding and reduction in groundwater levels. Retrofitting the existing buildings into green roofs is a promising approach to combat urban flooding, especially for a densely developed city. Here, the application potential of the Green Roof System (GRS) and the Improved Green Roof System (IGRS) designed to divert overflowing water from green roofs to recharge groundwater were analyzed in a densely developed city, Nanchang, China. For the first time, the influence of GRS on the hydraulic condition of Combined Sewage System/Storm Water System (CSS/SWS) is analyzed, which is a direct reflection of the effect of GRS on alleviating urban flooding. The simulation results show that GRS can retain about 41–75% of precipitation in a 2-hour timescale and the flooding volumes in the GRS/IGRS region are 82% and 28% less than those of the Traditional Roof System (TRS) in 10- and 100-yr precipitation events, respectively. In the continuous simulations, GRS also enhances Evapotranspiration (ET), which accounts for 39% of annual precipitation, so that reduces the cumulative surface runoff. Considering the IGRS can provide more hydrological benefits than the GRS under the same climate conditions, we may conclude that the widespread implementation of both the GRS and the IGRS in Nanchang and other densely developed cities in the MLRYR region could significantly reduce surface and peak runoff rates.

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Complementary Relationship for Estimating Evapotranspiration Using the Granger-Gray Model: Improvements and Comparison with a Remote Sensing Method

Cited by 3 publications

References 26 publications

Estimating evapotranspiration using the complementary relationship and the Budyko framework

Estimating evapotranspiration using the complementary relationship and the Budyko framework

Modelling green roof potential to mitigate urban flooding in a Chinese city

Modeling Green Roof Potential to Mitigate Urban Flooding in a Chinese City

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