Private Portfolio Attribution Analysis

2021 ◽  
pp. jai.2021.1.137
Author(s):  
Gregory Brown ◽  
Frank Ethridge ◽  
Tyler Johnson ◽  
Tom Keck
Keyword(s):  
2020 ◽  
Author(s):  
Gregory W. Brown ◽  
Frank Ethridge ◽  
Tyler Johnson ◽  
Thomas Keck
Keyword(s):  

2021 ◽  
Vol 13 (9) ◽  
pp. 1843
Author(s):  
Xiaona Chen ◽  
Yaping Yang ◽  
Yingzhao Ma ◽  
Huan Li

Snow cover phenology has exhibited dramatic changes in the past decades. However, the distribution and attribution of the hemispheric scale snow cover phenology anomalies remain unclear. Using satellite-retrieved snow cover products, ground observations, and reanalysis climate variables, this study explored the distribution and attribution of snow onset date, snow end date, and snow duration days over the Northern Hemisphere from 2001 to 2020. The latitudinal and altitudinal distributions of the 20-year averaged snow onset date, snow end date, and snow duration days are well represented by satellite-retrieved snow cover phenology matrixes. The validation results by using 850 ground snow stations demonstrated that satellite-retrieved snow cover phenology matrixes capture the spatial variability of the snow onset date, snow end date, and snow duration days at the 95% significance level during the overlapping period of 2001–2017. Moreover, a delayed snow onset date and an earlier snow end date (1.12 days decade−1, p < 0.05) are detected over the Northern Hemisphere during 2001–2020 based on the satellite-retrieved snow cover phenology matrixes. In addition, the attribution analysis indicated that snow end date dominates snow cover phenology changes and that an increased melting season temperature is the key driving factor of snow end date anomalies over the NH during 2001–2020. These results are helpful in understanding recent snow cover change and can contribute to climate projection studies.


Author(s):  
F. Huang ◽  
X. Mo

Abstract. Accurate assessment of water budgets is important to water resources management and sustainable development in catchments. Here the VIP (Vegetation Interface Processes) ecohydrological model is used to estimate the water budget and its influence factors in Hutuo River basin, China. The model runs from 1956 to 2010 with a spatial resolution of 1 km, utilizing remotely sensed LAI data of MODIS. During the study period the canopy transpiration takes up 58% of evapotranspiration over the whole catchment and the fractions of soil and interception evaporation are 36% and 6% respectively. The annual evapotranspiration and streamflow are both declining, mainly resulting from the decrease of annual precipitation. Attribution analysis shows that the contributions of climate change and human activities to the decrease of streamflow are 48% and 52%, respectively.


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