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中国科学院青藏高原研究所机构知识库
Knowledge Management System Of Institute of Tibetan Plateau Research, CAS
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Vulnerability analysis based on drought and vegetation dynamics
期刊论文
ECOLOGICAL INDICATORS , 2019, 卷号: 105, 期号: 0, 页码: 329-336
Authors:
Niu, J (Niu, Jun)
;
Kang, SZ (Kang, Shaozhong)
;
Zhang, XT (Zhang, Xiaotao)
;
Fu, J (Fu, Jing)
Adobe PDF(1278Kb)
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Submit date:2020/09/30
Hydrologically Based Dataset
Land-surface Fluxes
Heihe River-basin
Water Vulnerability
Soil-moisture
Model
China
Precipitation
Groundwater
Quantification
Estimating daily average surface air temperature using satellite land surface temperature and top-of-atmosphere radiation products over the Tibetan Plateau
期刊论文
REMOTE SENSING OF ENVIRONMENT, 2019, 卷号: 234, 期号: 0, 页码: 111462
Authors:
Rao, YH (Rao, Yuhan)
;
Liang, SL (Liang, Shunlin)
;
Wang, DD (Wang, Dongdong)
;
Yu, YY (Yu, Yunyue)
;
Song, Z (Song, Zhen)
;
Zhou, Y (Zhou, Yuan)
;
Shen, MG (Shen, Miaogen)
;
Xu, BQ (Xu, Baiqing)
Adobe PDF(5762Kb)
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Submit date:2020/09/09
Climate-change
Modis
Impacts
Dataset
Water
Position and orientation of the westerly jet determined Holocene rainfall patterns in China
期刊论文
NATURE COMMUNICATIONS, 2019, 卷号: 10, 期号: 0, 页码: 2376
Authors:
Herzschuh, U (Herzschuh, Ulrike)
;
Cao, XY (Cao, Xianyong)
;
Laepple, T (Laepple, Thomas)
;
Dallmeyer, A (Dallmeyer, Anne)
;
Telford, RJ (Telford, Richard J.)
;
Ni, J (Ni, Jian)
;
Chen, F (Chen, Fahu)
;
Kong, ZC (Kong, Zhaochen)
;
Liu, GX (Liu, Guangxiu)
;
Liu, KB (Liu, Kam-Biu)
;
Liu, XQ (Liu, Xingqi)
;
Stebich, M (Stebich, Martina)
;
Tang, LY (Tang, Lingyu)
;
Tian, F (Tian, Fang)
;
Wang, YB (Wang, Yongbo)
;
Wischnewski, J (Wischnewski, Juliane)
;
Xu, QH (Xu, Qinghai)
;
Yan, S (Yan, Shun)
;
Yang, ZJ (Yang, Zhenjing)
;
Yu, G (Yu, Ge)
;
Zhang, Y (Zhang, Yun)
;
Zhao, Y (Zhao, Yan)
;
Zheng, Z (Zheng, Zhuo)
Adobe PDF(1835Kb)
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Submit date:2020/11/24
Asian Summer Monsoon
Interannual Variability
Precipitation Changes
Seasonal Transitions
East-asia
Climate
Model
Dataset
Circulation
Vegetation
The Evaluation of SMAP Enhanced Soil Moisture Products Using High-Resolution Model Simulations and In-Situ Observations on the Tibetan Plateau
期刊论文
REMOTE SENSING, 2018, 卷号: 10, 期号: 4, 页码: 文献号 535
Authors:
Li, CW (Li, Chengwei)
;
Lu, H (Lu, Hui)
;
Yang, K (Yang, Kun)
;
Han, ML (Han, Menglei)
;
Wright, JS (Wright, Jonathon S.)
;
Chen, YY (Chen, Yingying)
;
Yu, L (Yu, Le)
;
Xu, SM (Xu, Shiming)
;
Huang, XM (Huang, Xiaomeng)
;
Gong, W (Gong, Wei)
Adobe PDF(41039Kb)
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Submit date:2019/06/13
Retrievals
Validation
Satellite
Network
Smos
Assimilation
Sentinel-1
Dataset
Amsr2
Simulations of the Impact of Lakes on Local and Regional Climate Over the Tibetan Plateau
期刊论文
ATMOSPHERE-OCEAN, 2018, 卷号: 56, 期号: 4 特刊: SI, 页码: 230-239
Authors:
Zhu, LJ (Zhu, Lingjing)
;
Jin, JM (Jin, Jiming
;
Liu, X (Liu, Xin)
;
Tian, L (Tian, Lei)
;
Zhang, QH (Zhang, Qunhui)
Adobe PDF(1980Kb)
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Submit date:2019/06/25
Aggregate Mesoscale Disturbances
Great-lakes
Elevation Changes
Nam Co
Model
Parameterization
Precipitation
Performance
Altimetry
Dataset
Mid-late Pleistocene glacial evolution in the Grove Mountains, East Antarctica, constraints from cosmogenic Be-10 surface exposure dating of glacial erratic cobbles
期刊论文
QUATERNARY SCIENCE REVIEWS, 2016, 卷号: 145, 期号: 0, 页码: 71-81
Authors:
Dong, GC (Dong, Guocheng)
;
Huang, FX (Huang, Feixin)
;
Yi, CL (Yi, Chaolu)
;
Liu, XH (Liu, Xiaohan)
;
Zhou, WJ (Zhou, Weijian)
;
Caffee, MW (Caffee, Marc W.)
;
Huang, FX
Adobe PDF(3405Kb)
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Submit date:2017/09/26
Glacial HisTories From The East Antarctic Ice Sheet (Eais) Provide Keys To UnderstAndIng Correlations Between The Eats And Global Climate. They Are Especially Helpful In The Assessment Of Global Sea Level Change
And As a Means Of Quantifying The Magnitude Of pAst Glacial Activity And The RAte At Which Ice Responded To climAte Change. Given The Significance Of Eais Glacial hisTories
It Is Imperative That More Glacial Chronologic Data For thIs Region Be Obtained
Especially For The Mid-to-lAte Pleistocene. We Report Cosmogenic Be-10 Surface Exposure DAtIng Results From Glacially Transported Cobbles Embedded In Blue-ice moraIne MAterial At Mount hardIng
The Grove Mountains
Eais. Forty Exotic Cobbles Sampled AlOng Two PrOfiles (a And b) On This Blue-ice MoraIne Present Apparent Exposure-ages RangIng From 7.2 To 542.2 Ka. We Explore This Scattered Dataset By UsIng PrIncipal compOnent Analysis (Pca) To Identify Statistically Significant Trends In The Data. We Identify a correlatiOn betWeen Exposure-age And Distance Of The Cobbles From Mount hardIng. In prOfile a
Cobbles Further From Mount HardIng Yield Older Exposure-ages Than Those That Are Relatively Close. In Profile b
Cobbles Closer To Mount HardIng Are Found To Have Relatively Older Exposure-ages. In Term Of Glacial hisTory We Suggest That The Direction Of Ice Flow Changed durIng The Period From Similar To 60 To 200 Ka
And That Multiple Glacial Fluctuations Occurred In The Mid-late Pleistocene. (c) 2016 Elsevier Ltd. All Rights Reserved.
Delayed autumn phenology in the Northern Hemisphere is related to change in both climate and spring phenology
期刊论文
GLOBAL CHANGE BIOLOGY, 2016, 卷号: 22, 期号: 11, 页码: 3702-3711
Authors:
Liu, Q (Liu, Qiang)
;
Fu, YSH (Fu, Yongshuo H.)
;
Zhu, ZC (Zhu, Zaichun)
;
Liu, YW (Liu, Yongwen)
;
Liu, Z (Liu, Zhuo)
;
Huang, MT (Huang, Mengtian)
;
Janssens, IA (Janssens, Ivan A.)
;
Piao, SL (Piao, Shilong)
;
Piao, SL
Adobe PDF(1072Kb)
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Submit date:2017/07/27
Land-surface Phenology
Leaf Senescence
Time-series
Plant Phenology
Deciduous Trees
Ndvi Data
Vegetation
Ecosystems
Dataset
Season
Strong impacts of daily minimum temperature on the green-up date and summer greenness of the Tibetan Plateau
期刊论文
GLOBAL CHANGE BIOLOGY, 2016, 卷号: 22, 期号: 9, 页码: 3057-3066
Authors:
Shen, MG (Shen, Miaogen)
;
Piao, SL (Piao, Shilong)
;
Chen, XQ (Chen, Xiaoqiu)
;
An, S (An, Shuai)
;
Fu, YSH (Fu, Yongshuo H.)
;
Wang, SP (Wang, Shiping)
;
Cong, N (Cong, Nan)
;
Janssens, IA (Janssens, Ivan A.)
;
Shen, MG
;
Piao, SL
Adobe PDF(592Kb)
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Submit date:2017/08/31
Recent Climate-change
Northern-hemisphere
Vegetation Index
Spring Phenology
Alpine Meadow
Plant-growth
Daytime
Evapotranspiration
Latitudes
Dataset