Zobrazeno 1 - 10
of 49
pro vyhledávání: '"Tongbi Tu"'
Publikováno v:
Communications Earth & Environment, Vol 4, Iss 1, Pp 1-12 (2023)
Abstract Sensitivity of ecosystem productivity to climate variability is a critical component of ecosystem resilience to climate change. Variation in ecosystem sensitivity is influenced by many variables. Here we investigate the effect of bedrock lit
Externí odkaz:
https://doaj.org/article/1847fd868b5c4779a4c9afc97017f4cd
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-10 (2023)
The color of environmental noise, or degree of predictability in environmental variation, has important implications for ecosystem conservation and management. This study investigates the patterns and drivers of noise color across the US rivers.
Externí odkaz:
https://doaj.org/article/2e6bd65cd3c34ea6863b46e9bac2c6ef
Publikováno v:
Journal of Hydroinformatics, Vol 23, Iss 6, Pp 1312-1324 (2021)
This study proposes two effective approaches to reduce the required computational time of the training process for time-series modeling through a recurrent neural network (RNN) using multi-time-scale time-series data as input. One approach provides c
Externí odkaz:
https://doaj.org/article/f36464a284db4bdab36e3713acd52fd7
Publikováno v:
Environmental Research Letters, Vol 18, Iss 11, p 114007 (2023)
Vegetation resistance and resilience to drought are linked to the stability of terrestrial ecosystems under climate change. However, the factors driving the spatial heterogeneity in drought resistance and resilience remain poorly understood. In the s
Externí odkaz:
https://doaj.org/article/0d766a55d4384fb0808ca1e4380fb6e5
Publikováno v:
Journal of Hydrology: Regional Studies, Vol 37, Iss , Pp 100921- (2021)
Study region: Kuma River Watershed in Japan. Study focus: High-quality precipitation information is desirable in hydrological modeling and water resources management. This study aimed to generate long-term fine-resolution precipitation datasets over
Externí odkaz:
https://doaj.org/article/f99907b3370f4b1493bcfa09cbfece14
Publikováno v:
Water Resources Research. 58
Publikováno v:
Earth System Dynamics. 2017, Vol. 8 Issue 4, p921-929. 9p.
Publikováno v:
The Science of the total environment. 838(Pt 2)
While global streamflow reanalysis provides valuable information for environmental modelling and management, it is not yet known how effective they are in characterizing the local flow regime. This paper presents a novel evaluation of the potential o
Publikováno v:
Hydrology and Earth System Sciences, Vol 25, Pp 5717-5732 (2021)
Climate teleconnections are essential for the verification of valuable precipitation forecasts generated by global climate models (GCMs). This paper develops a novel approach to attributing correlation skill of dynamical GCM forecasts to statistical
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a33adabe89217a227e48052ed08a7e0c
https://hess.copernicus.org/articles/25/5717/2021/
https://hess.copernicus.org/articles/25/5717/2021/
Publikováno v:
Journal of Hydrology: Regional Studies, Vol 37, Iss, Pp 100921-(2021)
Study region Kuma River Watershed in Japan. Study focus High-quality precipitation information is desirable in hydrological modeling and water resources management. This study aimed to generate long-term fine-resolution precipitation datasets over th