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Reliable repurposing of antibody interactome inside the cell
O’Shea CM +14 more
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Remote Sensing of Environment, 2021
Abstract Knowledge about spatiotemporal error characteristics of remotely sensed soil moisture (SM) products is essential for correctly interpreting observational information and optimally assimilating them into hydrological models. This work aims to (i) investigate the relative difference between time-invariant and time-variant daily SM errors of ...
Kai Wu, Dongryeol Ryu, Lei Nie, Hong Shu
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Abstract Knowledge about spatiotemporal error characteristics of remotely sensed soil moisture (SM) products is essential for correctly interpreting observational information and optimally assimilating them into hydrological models. This work aims to (i) investigate the relative difference between time-invariant and time-variant daily SM errors of ...
Kai Wu, Dongryeol Ryu, Lei Nie, Hong Shu
openaire +1 more source
Journal of Hydrometeorology, 2021
AbstractEvaluating the accuracy of precipitation products is essential for many applications. The traditional method for evaluation is to calculate error metrics of products with gauge measurements that are considered as ground-truth. The multiplicative triple collocation (MTC) method has been demonstrated powerful in error quantification of ...
Zheng Duan +5 more
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AbstractEvaluating the accuracy of precipitation products is essential for many applications. The traditional method for evaluation is to calculate error metrics of products with gauge measurements that are considered as ground-truth. The multiplicative triple collocation (MTC) method has been demonstrated powerful in error quantification of ...
Zheng Duan +5 more
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Journal of Hydrology, 2021
Abstract Terrestrial water storage anomaly (TWSA) retrieved from the Gravity Recovery and Climate Experiment (GRACE) mission can be used as a good indicator of flood potential, but it is limited to regional analysis due to the coarse resolution (∼300 km).
Yin, G., Park, J.
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Abstract Terrestrial water storage anomaly (TWSA) retrieved from the Gravity Recovery and Climate Experiment (GRACE) mission can be used as a good indicator of flood potential, but it is limited to regional analysis due to the coarse resolution (∼300 km).
Yin, G., Park, J.
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Remote Sensing of Environment, 2023
Quantifying the accuracy of the satellite-based soil moisture (SM) data is important for a number of key applications, such as: combining satellite-based SM products for long-term SM analyses, assimilating SM data into land surface models, and providing quality flags to mask bad quality SM data.
Kim, Hyunglok +5 more
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Quantifying the accuracy of the satellite-based soil moisture (SM) data is important for a number of key applications, such as: combining satellite-based SM products for long-term SM analyses, assimilating SM data into land surface models, and providing quality flags to mask bad quality SM data.
Kim, Hyunglok +5 more
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Remote Sensing of Environment, 2023
Accurate specification of spatiotemporal errors of remotely sensed soil moisture (SM) data is essential for a correct assessment of their utility and optimally integrating multiple SM products or assimilating them into hydrological models. Although Triple Collocation Analysis (TCA) has been widely used to provide SM errors, the impact of rescaling ...
Wu, Kai +3 more
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Accurate specification of spatiotemporal errors of remotely sensed soil moisture (SM) data is essential for a correct assessment of their utility and optimally integrating multiple SM products or assimilating them into hydrological models. Although Triple Collocation Analysis (TCA) has been widely used to provide SM errors, the impact of rescaling ...
Wu, Kai +3 more
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2022
Accurate knowledge and understanding of the sea state and its variability is crucial to numerous oceanic and coastal engineering applications. Owing to increased numbers of concurrent satellite missions, both the duration of record and frequency of observations of the sea state have motivated substantial research effort directed at both oceanic and ...
Timmermans, Ben +2 more
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Accurate knowledge and understanding of the sea state and its variability is crucial to numerous oceanic and coastal engineering applications. Owing to increased numbers of concurrent satellite missions, both the duration of record and frequency of observations of the sea state have motivated substantial research effort directed at both oceanic and ...
Timmermans, Ben +2 more
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Remote Sensing of Environment, 2012
Uncertainty information for global leaf area index (LAI) products is important for global modeling studies but usually difficult to systematically obtain at a global scale. Here, we present a new method that cross-validates existing global LAI products and produces consistent uncertainty information.
Hongliang Fang +3 more
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Uncertainty information for global leaf area index (LAI) products is important for global modeling studies but usually difficult to systematically obtain at a global scale. Here, we present a new method that cross-validates existing global LAI products and produces consistent uncertainty information.
Hongliang Fang +3 more
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2021
<p>Soil moisture is an Essential Climate Variable (ECV) that plays an important role in land surface-atmosphere interactions. Accurate monitoring of soil moisture is essential for many studies in water, energy and carbon cycles. However, soil moisture is characterized with high spatial and temporal variability, making conventional point ...
Zheng Duan +7 more
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<p>Soil moisture is an Essential Climate Variable (ECV) that plays an important role in land surface-atmosphere interactions. Accurate monitoring of soil moisture is essential for many studies in water, energy and carbon cycles. However, soil moisture is characterized with high spatial and temporal variability, making conventional point ...
Zheng Duan +7 more
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2023
The growing satellite record of sea state observations is becoming increasingly important for climate change research, to improve ocean and weather forecasts and to inform climate change mitigation and investment strategies. In this context, coastal processes and impacts are of particular concern, driving a yet stronger research imperative.
Ben Timmermans +2 more
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The growing satellite record of sea state observations is becoming increasingly important for climate change research, to improve ocean and weather forecasts and to inform climate change mitigation and investment strategies. In this context, coastal processes and impacts are of particular concern, driving a yet stronger research imperative.
Ben Timmermans +2 more
openaire +1 more source