Zobrazeno 1 - 10
of 80
pro vyhledávání: '"Jianzhi Dong"'
Publikováno v:
Geoderma, Vol 442, Iss , Pp 116782- (2024)
Soil hydraulic parameters are influenced by various inherent soil properties, such as pore structure and organic matter content, which can vary with changes in the ecosystem. However, identifying the temporal variations of soil hydraulic parameters i
Externí odkaz:
https://doaj.org/article/5f5fff9096f6488a80012d68c5f3299e
Autor:
Yongwei Liu, Wei Cui, Zhe Ling, Xingwang Fan, Jianzhi Dong, Chengmei Luan, Rong Wang, Wen Wang, Yuanbo Liu
Publikováno v:
Remote Sensing, Vol 16, Iss 2, p 429 (2024)
The potential of satellite soil moisture (SM) in improving hydrological modeling has been addressed in synthetic experiments, but it is less explored in real data cases. Here, we investigate the added value of Soil Moisture and Passive (SMAP) and Adv
Externí odkaz:
https://doaj.org/article/def9472b4fa74df9b559cfd5f9e29dbe
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-8 (2022)
Summertime warm bias in the central United States persists in Earth System Models. This bias is dominated by land physics related to transpiration and evaporation partitioning. Improved land physics can constrain projected climate uncertainty.
Externí odkaz:
https://doaj.org/article/83edc18269b84d478277019e6aee8d1c
Autor:
Sujay Kumar, Jana Kolassa, Rolf Reichle, Wade Crow, Gabrielle deLannoy, Patricia deRosnay, Natasha MacBean, Manuela Girotto, Andy Fox, Tristan Quaife, Clara Draper, Barton Forman, Gianpaolo Balsamo, Susan Steele‐Dunne, Clement Albergel, Bertrand Bonan, Jean‐Christophe Calvet, Jianzhi Dong, Hannah Liddy, Benjamin Ruston
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 14, Iss 11, Pp n/a-n/a (2022)
Abstract The task of quantifying spatial and temporal variations in terrestrial water, energy, and vegetation conditions is challenging due to the significant complexity and heterogeneity of these conditions, all of which are impacted by climate chan
Externí odkaz:
https://doaj.org/article/9bdb987585f74b83b9167d00c385e744
Publikováno v:
Ecological Indicators, Vol 144, Iss , Pp 109463- (2022)
Identifying vegetation changes and the associated driving forces provides a valuable reference for developing ecological restoration strategies. However, it remains a challenge to disentangle the impacts of climate, vegetation, and human interference
Externí odkaz:
https://doaj.org/article/e380d4f60263478a9bd8e783e63c5ee1
Publikováno v:
Frontiers in Water, Vol 3 (2021)
Soil moisture plays an important role in the hydrologic water cycle. Relative to in-situ soil moisture measurements, remote sensing has been the only means of monitoring global scale soil moisture in near real-time over the past 40 years. Among these
Externí odkaz:
https://doaj.org/article/b4872c3d19f343f0876909a0424429d1
Publikováno v:
Water, Vol 14, Iss 4, p 621 (2022)
Multivariate data assimilation (DA) of satellite soil moisture (SM) and terrestrial water storage (TWS) observations has recently been used to improve SM and groundwater storage (GWS) simulations. Previous studies employed the ensemble Kalman approac
Externí odkaz:
https://doaj.org/article/9450165863d14eb7b57a325a153648a4
Publikováno v:
Remote Sensing, Vol 12, Iss 12, p 2037 (2020)
Root zone soil moisture (RZSM) is one of the least-monitored variables within the hydrologic cycle. Given the importance of RZSM to agriculture, more effort is needed to understand the potential impacts of the El Niño southern oscillation (ENSO), Pa
Externí odkaz:
https://doaj.org/article/9ca45173438d4d889ef0d53c245beeaf
Autor:
Jianzhi Dong, Rosa Agliata, Susan Steele-Dunne, Olivier Hoes, Thom Bogaard, Roberto Greco, Nick van de Giesen
Publikováno v:
Sensors, Vol 17, Iss 9, p 2102 (2017)
Several recent studies have highlighted the potential of Actively Heated Fiber Optics (AHFO) for high resolution soil moisture mapping. In AHFO, the soil moisture can be calculated from the cumulative temperature ( T cum ), the maximum temperature (
Externí odkaz:
https://doaj.org/article/b07844d0713b40798ee35c63c6d37a62
Autor:
Andrew F. Feldman, Daniel J. Short Gianotti, Jianzhi Dong, Isabel F. Trigo, Guido D. Salvucci, Dara Entekhabi
Publikováno v:
Global Change Biology. 29:110-125
Vegetation cover creates competing effects on land surface temperature: it typically cools through enhancing energy dissipation and warms via decreasing surface albedo. Global vegetation has been previously found to overall net cool land surfaces wit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c902221523f9147d79187342957acbff
https://doi.org/10.1111/gcb.16455
https://doi.org/10.1111/gcb.16455