Zobrazeno 1 - 10
of 24 888
pro vyhledávání: '"D. Guo"'
Publikováno v:
Hydrology and Earth System Sciences, Vol 28, Pp 1897-1914 (2024)
In water-limited areas, planted trees can extract substantial amounts of soil water from deep layers (> 200 cm) to meet their high water demand, resulting in deep soil desiccation, which influences not only regional water cycling but also the sustain
Externí odkaz:
https://doaj.org/article/541f9739f3a2428ebd01f665ecbb4ca7
Publikováno v:
Journal of Dairy Science, Vol 106, Iss 12, Pp 8272-8286 (2023)
ABSTRACT: sn2 Palmitate in human milk plays an important role in the physiological health of infants by reducing mineral loss, improving stool hardness, and relieving constipation. Also, sn-2 palmitate modulates intestinal microbiota. However, it rem
Externí odkaz:
https://doaj.org/article/36b9b2d65dd14d6ea4591183037517bd
Publikováno v:
Atmospheric Chemistry and Physics, Vol 23, Pp 13029-13047 (2023)
Accurate quantification of long-term trends in stratospheric ozone can be challenging due to their sensitivity to natural variability, the quality of the observational datasets, and non-linear changes in forcing processes as well as the statistical m
Externí odkaz:
https://doaj.org/article/3f4ea3bad1f042d99e9804d4d673ccca
Publikováno v:
Atmospheric Chemistry and Physics, Vol 22, Pp 13087-13102 (2022)
Using European Centre for Medium-Range Weather Forecasts fifth-generation (ERA5) and second Modern-Era Retrospective analysis for Research and Applications (MERRA-2) reanalysis and surface meteorological observation data, this study explores the poss
Externí odkaz:
https://doaj.org/article/5ed0f0930e694d63b680196fa08bfe60
Publikováno v:
Geoscientific Model Development, Vol 15, Pp 6637-6657 (2022)
Inaccurate parameter estimation is a significant source of uncertainty in complex terrestrial biosphere models. Model parameters may have large spatial variability, even within a vegetation type. Model uncertainty from parameters can be significantly
Externí odkaz:
https://doaj.org/article/8c9ab66ed4984d3d88d24bba97ec68f9
Publikováno v:
Atmospheric Chemistry and Physics, Vol 22, Pp 10635-10656 (2022)
We use TOMCAT, a 3-dimensional (3D) offline chemical transport model (CTM) forced by two different meteorological reanalysis data sets (ERA-Interim and ERA5) from the European Centre for Medium-Range weather Forecasts (ECMWF) to analyse seasonal beha
Externí odkaz:
https://doaj.org/article/0d531d130e5c453a9af3837e7378a107
Publikováno v:
Hydrology and Earth System Sciences, Vol 26, Pp 1-16 (2022)
Understanding concentration–discharge (C–Q) relationships can inform catchment solute and particulate export processes. Previous studies have shown that the extent to which baseflow contributes to streamflow can affect C–Q relationships in some
Externí odkaz:
https://doaj.org/article/33cefc2558c54356aaa2ce619df41ee1
Publikováno v:
Hydrology and Earth System Sciences, Vol 25, Pp 2663-2683 (2021)
Stream water quality is highly variable both across space and time. Water quality monitoring programmes have collected a large amount of data that provide a good basis for investigating the key drivers of spatial and temporal variability. Event-based
Externí odkaz:
https://doaj.org/article/98fc6260a4624405b063f5638823086a
Publikováno v:
Atmospheric Chemistry and Physics, Vol 20, Pp 8627-8639 (2020)
Various observation-based datasets have confirmed positive zonal mean column ozone trends at midlatitudes as a result of the successful implementation of the Montreal Protocol. However, there is still uncertainty about the longitudinal variation of t
Externí odkaz:
https://doaj.org/article/9fd0db02927340af9cd60bbd43809fb3
Publikováno v:
Hydrology and Earth System Sciences, Vol 24, Pp 827-847 (2020)
Our current capacity to model stream water quality is limited – particularly at large spatial scales across multiple catchments. To address this, we developed a Bayesian hierarchical statistical model to simulate the spatiotemporal variability in s
Externí odkaz:
https://doaj.org/article/451fcc3ed4814db0bfa52c8297a46e37