Variations and influencing factors of potential evapotranspiration in large Siberian river basins during 1975-2014

Abstract. The present study compares three meteorological drought indices (scPDSI, SPI and SPEI respectively) and their ability to account for the variations of annual mean river discharge on both interannual and climate change timescales. The Standardized Runoff Index (SRI) is used as a proxy of river discharge. The Mississippi and Amazon river basins provide two contrasted testbeds for this analysis. All meteorological drought indices are derived from monthly 2-meter temperature and/or precipitation, using either gridded observations or outputs of a global climate model. The SPI based solely on precipitation is not outperformed by the SPEI (accounting for potential evapotranspiration) and the scPDSI (based on a simplified water balance) at detecting interannual SRI variations. Under increasing concentrations of greenhouse gases, the simulated response of the areal fraction in drought is highly index-dependent, suggesting that more physical water balance models are needed to account for the impact of global warming on hydrological droughts.

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Dynamic change and influencing factors of potential evapotranspiration in the middle arid region of Ningxia

Acta Ecologica Sinica ◽

10.5846/stxb201501060035 ◽

2016 ◽

Vol 36 (15) ◽

Author(s):

李媛 LI Yuan ◽

谢应忠 XIE Yingzhong ◽

王亚娟 WANG Yajuan

Keyword(s):

Influencing Factors ◽

Arid Region ◽

Potential Evapotranspiration ◽

Dynamic Change

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Evidence of dispersal between the Yenisei and the Lena river basins during the late Pleistocene within the whitefish (Coregonus lavaretus pidschian) complex

Canadian Journal of Zoology ◽

10.1139/cjz-2020-0255 ◽

2021 ◽

pp. 1028-1039

Author(s):

Nickolay A. Bochkarev ◽

Elena I. Zuykova ◽

Alexey V. Katokhin ◽

Karl B. Andree ◽

Mikhail M. Solovyev

Keyword(s):

Late Pleistocene ◽

Nadh Dehydrogenase ◽

River Basins ◽

Taxonomic Structure ◽

Coregonus Lavaretus ◽

Nadh Dehydrogenase Subunit ◽

Lena River ◽

Siberian River ◽

Last Glaciation ◽

Intraspecific Structure

The Coregonus lavaretus (Linnaeus, 1758) complex is a morphologically and genetically diverse group of whitefish. Its taxonomic structure has been controversial for almost a century. At least 25 forms of C. lavaretus have been described in Siberia, but there is still no consensus on their intraspecific structure and taxonomy. Coregonus lavaretus pidschian (Gmelin, 1789) was described as a subspecies of C. lavaretus. Recently, it was assumed that this subspecies is also a complex. The purpose of this study was to compare the distributions of pidschian-like whitefish haplotypes in two basins of large Siberian rivers, Yenisei and Lena, and to assess the gene flow between basins of these rivers, which were connected after the last glaciation. The sequence of the following mitochondrial DNA genes, 16S rRNA (partial), tRNA-Leu (full), NADH dehydrogenase subunit 1 (full), tRNA-Ile (full), and tRNA-Gln (partial), were used for the inference of intraspecific genetic structure of C. l. pidschian. Whitefish haplotypes were clustered into two groups according to their distribution between two large Siberian river basins; however, there were shared haplotypes indicating events of migration and hybridization, which could occur when Bolshoi Yenisei and Lena river systems were connected after the last glaciation (the Late Pleistocene).

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Hydrological effects of climate variability and vegetation dynamics on annual fluvial water balance at global large river basins

10.5194/hess-2018-200 ◽

2018 ◽

Author(s):

Jianyu Liu ◽

Qiang Zhang ◽

Vijay P. Singh ◽

Changqing Song ◽

Yongqiang Zhang ◽

...

Keyword(s):

Water Balance ◽

Climate Variability ◽

Temporal Variation ◽

Vegetation Dynamics ◽

Potential Evapotranspiration ◽

River Basins ◽

Large River ◽

Landscape Characteristics ◽

Controlling Parameter ◽

Large River Basins

Abstract. The partitioning of water and energy, governed by the controlling parameter in the Budyko framework (i.e., n parameter in the Choudhury and Yang equation), is critical to assess the water balance at global scale. It is widely acknowledged that the spatial variation of this controlling parameter is affected by landscape characteristics, but characterizing its temporal variation remains yet to be done. Considering effective precipitation (Pe), the Budyko framework was extended to the annual water balance analysis. To reflect the mismatch between water supply (precipitation, P) and energy (potential evapotranspiration, E0), a climate seasonality and asynchrony index (SAI) were proposed in terms of both phase and amplitude mismatch between P and E0. Considering streamflow changes in 26 large river basins as a case study, SAI was found to the key factor explaining 46 % of the annual variance of parameter n. Furthermore, the vegetation dynamics (M) remarkably impacted the temporal variation of n, explaining 67 % of the variance. With SAI and M, a semi-empirical formula for parameter n was developed at the annual scale to describe annual runoff (R) and evapotranspiration (E). The impacts of climate variability (Pe, E0 and SAI) and M on R and E changes were then quantified. Results showed that R and E changes were controlled mainly by the Pe variations in most river basins over the globe, while SAI acted as the controlling factor modifying R and E changes in the East Asian subtropical monsoon zone, E0 in the temperate maritime climate of Europe, and M in the temperate grassland zone of South America.

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Runoff over Siberian river basins as an integrate proxy of permafrost state

Доклады Академии наук ◽

10.31857/s0869-56524876679-683 ◽

2019 ◽

Vol 487 (6) ◽

pp. 679-683

Author(s):

V. P. Melnikov ◽

P. V. Pikinerov ◽

V. B. Gennadinik ◽

A. G. Babushkin ◽

D. V. Moskovchenko

Keyword(s):

Mathematical Model ◽

River Basins ◽

Early Spring ◽

Permafrost Degradation ◽

Rapid Degradation ◽

Siberian River ◽

Discontinuous Permafrost ◽

Northern Rivers

A new phenomenon has been investigated - an increase in the winter and early spring streamflow of northern rivers. Assuming that the increased discharge may be due to permafrost degradation in river basins, the thaw rate was estimated by modeling. A mathematical model that takes into account the typification of the four permafrost categories, reflecting the dependence of the runoff on the cryological conditions of the watershed areas, showed a rapid degradation of sporadic permafrost and expansion of discontinuous permafrost at the account of continuous one.

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Hydrological effects of climate variability and vegetation dynamics on annual fluvial water balance in global large river basins

Hydrology and Earth System Sciences ◽

10.5194/hess-22-4047-2018 ◽

2018 ◽

Vol 22 (7) ◽

pp. 4047-4060 ◽

Cited By ~ 14

Author(s):

Jianyu Liu ◽

Qiang Zhang ◽

Vijay P. Singh ◽

Changqing Song ◽

Yongqiang Zhang ◽

...

Keyword(s):

Water Balance ◽

Climate Variability ◽

Temporal Variation ◽

Vegetation Dynamics ◽

Potential Evapotranspiration ◽

River Basins ◽

Large River ◽

Landscape Characteristics ◽

Controlling Parameter ◽

Large River Basins

Abstract. The partitioning of precipitation into runoff (R) and evapotranspiration (E), governed by the controlling parameter in the Budyko framework (i.e., n parameter in the Choudhury and Yang equation), is critical to assessing the water balance at global scale. It is widely acknowledged that the spatial variation in this controlling parameter is affected by landscape characteristics, but characterizing its temporal variation remains yet to be done. Considering effective precipitation (Pe), the Budyko framework was extended to the annual water balance analysis. To reflect the mismatch between water supply (precipitation, P) and energy (potential evapotranspiration, E0), we proposed a climate seasonality and asynchrony index (SAI) in terms of both phase and amplitude mismatch between P and E0. Considering streamflow changes in 26 large river basins as a case study, SAI was found to the key factor explaining 51 % of the annual variance of parameter n. Furthermore, the vegetation dynamics (M) remarkably impacted the temporal variation in n, explaining 67 % of the variance. With SAI and M, a semi-empirical formula for parameter n was developed at the annual scale to describe annual runoff (R) and evapotranspiration (E). The impacts of climate variability (Pe, E0 and SAI) and M on R and E changes were then quantified. Results showed that R and E changes were controlled mainly by the Pe variations in most river basins over the globe, while SAI acted as the controlling factor modifying R and E changes in the East Asian subtropical monsoon zone. SAI, M and E0 have larger impacts on E than on R, whereas Pe has larger impacts on R.

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