ORCID Profile
0000-0003-4826-5350
Current Organisation
University of Oslo
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Publisher: Wiley
Date: 2018
DOI: 10.2136/VZJ2018.06.0001ED
Abstract: Editors of several journals in the field of hydrology met during the General Assembly of the European Geosciences Union (EGU) in Vienna in April 2017. This event was a follow‐up of similar meetings held in 2013 and 2015. These meetings enable the group of editors to review the current status of the journals and the publication process, and to share thoughts on future strategies. Journals were represented at the 2017 meeting by their editors, as shown in the list of authors. The main points on invigorating hydrological research through journal publications are communicated in this joint editorial published in our journals.
Publisher: Elsevier BV
Date: 12-2018
Publisher: Elsevier BV
Date: 10-2018
Publisher: Copernicus GmbH
Date: 18-12-2018
Abstract: Abstract. Editors of several journals in the field of hydrology met during the General Assembly of the European Geosciences Union (EGU) in Vienna in April 2017. This event was a follow-up of similar meetings held in 2013 and 2015. These meetings enable the group of editors to review the current status of the journals and the publication process, and to share thoughts on future strategies. Journals were represented at the 2017 meeting by their editors, as shown in the list of authors. The main points on invigorating hydrological research through journal publications are communicated in this joint editorial published in the above journals.
Publisher: Elsevier BV
Date: 10-2017
Publisher: MDPI AG
Date: 02-05-2017
DOI: 10.3390/W9050320
Publisher: Wiley
Date: 14-05-2010
DOI: 10.1002/RRA.1267
Publisher: Elsevier BV
Date: 2012
Publisher: American Meteorological Society
Date: 31-10-2018
Publisher: Elsevier BV
Date: 09-2014
Publisher: Wiley
Date: 19-03-2013
DOI: 10.1002/HYP.9258
Publisher: Elsevier BV
Date: 03-2018
DOI: 10.1016/J.SCITOTENV.2017.09.235
Abstract: Uncertainty is recognized as a critical consideration for accurately predicting stream water nitrogen (N) loading, but identifying the relative contribution of in idual uncertainty sources within the total uncertainty remains unclear. In this study, a powerful method, referred to as the Bayesian inference combined with analysis of variance (BayeANOVA) was adopted to detect the timing and magnitude of multiple uncertainty sources and their relative contributions to total uncertainty in simulating daily loadings of three stream water N species (ammonium-N: NH
Publisher: Informa UK Limited
Date: 11-06-2018
Publisher: American Geophysical Union (AGU)
Date: 08-2021
DOI: 10.1029/2020WR029529
Abstract: Catchment baseflow is jointly controlled by climate and landscape properties. Previous studies have recognized that spatial variability of mean annual baseflow coefficient (BFC = , ratio of baseflow to precipitation) is primarily controlled by aridity index and storage capacity. However, an analytical solution of BFC in terms of the dominant controlling factors has not yet been established. The objective of this study was to develop an analytical BFC curve to depict spatial variability of BFC based on the “limit” concept of the Budyko framework. The BFC curve relates the baseflow coefficient to aridity index and storage capacity without resolving complex interactions between evapotranspiration and baseflow generation. The proposed BFC curve showed that, in the arid catchments, baseflow coefficient was primarily limited by available water (precipitation, P ) and, in the humid catchments, was jointly controlled by both the available energy (potential evapotranspiration, E p ) and catchment retention capability (ratio of catchment storage capacity to P , i.e., S p / P ). Observed hydrological data from 950 catchments in Australia, the conterminous United States and the United Kingdom with erse hydro‐climatic conditions (BFC = 0.001–0.650) were collected to demonstrate the capability of the developed curve. Results showed that the BFC curve captured the spatial variability of observed BFC in the 950 study catchments ( R 2 = 0.75, RMSE = 0.058). Mean annual baseflow estimated by the BFC curve agreed well with observed baseflow ( R 2 = 0.86, RMSE = 0.19 mm). The developed analytical curve provides an analytical solution for understanding how aridity index and storage capacity control mean annual catchment baseflow, and will improve predictability of baseflow at ungauged basins.
Publisher: Walter de Gruyter GmbH
Date: 14-08-2018
Abstract: Editors of several journals in the field of hydrology met during the General Assembly of the European Geosciences Union-EGU in Vienna in April 2017. This event was a follow-up of similar meetings held in 2013 and 2015. These meetings enable the group of editors to review the current status of the journals and the publication process, and to share thoughts on future strategies. Journals were represented at the 2017 meeting by their editors, as shown in the list of authors. The main points on invigorating hydrological research through journal publications are communicated in this joint editorial published in the above journals.
Publisher: Springer Science and Business Media LLC
Date: 09-06-2018
Publisher: Springer Science and Business Media LLC
Date: 23-05-2010
Publisher: Wiley
Date: 12-08-2018
DOI: 10.1002/ECO.2016
Publisher: Elsevier BV
Date: 06-2018
Publisher: Springer Science and Business Media LLC
Date: 05-03-2010
Publisher: IWA Publishing
Date: 29-08-2018
DOI: 10.2166/NH.2018.124
Abstract: Editors of several journals in the field of hydrology met during the General Assembly of the European Geosciences Union – EGU in Vienna in April 2017. This event was a follow-up of similar meetings held in 2013 and 2015. These meetings enable the group of editors to review the current status of the journals and the publication process, and to share thoughts on future strategies. Journals were represented at the 2017 meeting by their editors, as shown in the list of authors. The main points on invigorating hydrological research through journal publications are communicated in this joint editorial published in the journals listed here.
Publisher: Wiley
Date: 10-11-2009
DOI: 10.1002/HYP.7509
Publisher: American Geophysical Union (AGU)
Date: 07-10-2011
DOI: 10.1029/2010JD015192
Publisher: Springer Science and Business Media LLC
Date: 28-10-2018
Publisher: Elsevier BV
Date: 10-2019
Publisher: Elsevier BV
Date: 2010
Publisher: American Geophysical Union (AGU)
Date: 06-2020
DOI: 10.1029/2018WR024053
Publisher: Copernicus GmbH
Date: 05-11-2018
DOI: 10.5194/HESS-22-5735-2018
Abstract: Abstract. Editors of several journals in the field of hydrology met during the General Assembly of the European Geosciences Union (EGU) in Vienna in April 2017. This event was a follow-up of similar meetings held in 2013 and 2015. These meetings enable the group of editors to review the current status of the journals and the publication process, and to share thoughts on future strategies. Journals were represented at the 2017 meeting by their editors, as shown in the list of authors. The main points on invigorating hydrological research through journal publications are communicated in this joint editorial published in the above journals.
Publisher: MDPI AG
Date: 18-04-2019
DOI: 10.3390/W11040812
Abstract: The absence of aggregated uncertainty measures restricts the assessment of uncertainty in hydrological simulation. In this work, a new composite uncertainty measure is developed to evaluate the complex behaviors of uncertainty existing in hydrological simulation. The composite uncertainty measure is constructed based on a framework, which includes three steps: (1) identification of behavioral measures by analyzing the pairwise correlations among different measures and removing high correlations (2) weight assignment by means of a new hierarchical weight assembly (HWA) approach incorporating the intra-class and inter-class weights (3) construction of a composite uncertainty measure through incorporating multiple properties of the measure matrix. The framework and the composite uncertainty measure are demonstrated by case studies in uncertainty assessment for hydrological simulation. Results indicate that the framework is efficient to generate a composite uncertainty index (denoted as CUI) and the new measure CUI is competent for uncertainty evaluation. Besides, the HWA approach performs well in weighting, which can characterize subjective and objective properties of the information matrix. The achievement of this work provides promising insights into the performance comparison of uncertainty analysis approaches, the selection of proper cut-off threshold in the GLUE method, and the guidance of reasonable uncertainty assessment in a range of environmental modelling.
Publisher: Elsevier BV
Date: 06-2018
No related grants have been discovered for Chong-Yu Xu.