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Remotely Sensed Vegetation Green-Up Onset Date on the Tibetan Plateau: Simulations and Future Predictions
期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2023, 卷号: 16
作者:
Cao, Ruyin
;
Ling, Xiaofang
;
Liu, Licong
;
Wang, Weiyi
;
Li, Luchun
;
Shen, Miaogen
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2024/03/01
Precipitation
Vegetation mapping
Data models
Biological system modeling
Temperature sensors
Ecosystems
Springs
Alpine ecosystem
land surface phenology
phenological model
Qinghai-Tibet plateau
start of vegetation growing season
Towards robust statistical inference for complex computer models
期刊论文
Ecology Letters, 2021, 卷号: 24, 期号: 6
作者:
Oberpriller J.
;
Cameron D.R.
;
Dietze M.C.
;
Hartig F.
收藏
  |  
浏览/下载:35/0
  |  
提交时间:2021/09/01
Bayesian Inference
bias correction
biased models
data imbalance
robust inference
Exploring the sample size and replications scenarios effect on spatial prediction of flood, using MARS and MaxEnt methods case study: saliantape catchment, Golestan, Iran
期刊论文
Natural Hazards, 2021
作者:
Rajabi A.
;
Shabanlou S.
;
Yosefvand F.
;
Kiani A.
收藏
  |  
浏览/下载:31/0
  |  
提交时间:2021/09/01
Data sensitivity
Maximum entropy
Models uncertainty
ROC curve
Spatial potentiality map
Development of bias-correction PERSIANN-CDR models for the simulation and completion of precipitation time series
期刊论文
ATMOSPHERIC ENVIRONMENT, 2021, 卷号: 246
作者:
Salmani-Dehaghi N.
;
Samani N.
收藏
  |  
浏览/下载:28/0
  |  
提交时间:2022/01/18
Bias-correction models
Fars province Iran
Missing precipitation data
PERSIANN-CDR
COVID and Climate: Similarities and differences
期刊论文
Wiley Interdisciplinary Reviews: Climate Change, 2021, 卷号: 12, 期号: 6
作者:
Grundmann R.
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  |  
浏览/下载:26/0
  |  
提交时间:2022/01/18
climate change
COVID-19
data and models
international cooperation
The role of environmental taxes and public policies in supporting RES investments in EU countries: Barriers and mimicking effects
期刊论文
Energy Policy, 2021, 卷号: 149
作者:
Carfora A.
;
Pansini R.V.
;
Scandurra G.
收藏
  |  
浏览/下载:32/0
  |  
提交时间:2021/09/01
Barriers to green investments
Mimicking effects
Panel data models
RES Policy instruments
Spatial model
Estimation of the distribution of the total net radiative flux from satellite and automatic weather station data in the Upper Blue Nile basin, Ethiopia
期刊论文
THEORETICAL AND APPLIED CLIMATOLOGY, 2021, 卷号: 143, 期号: 1-2
作者:
Tegegne, Eyale Bayable
;
Ma, Yaoming
;
Chen, Xuelong
;
Ma, Weiqiang
;
Wang, Bingbing
;
Ding, Zhangwei
;
Zhu, Zhikun
收藏
  |  
浏览/下载:28/0
  |  
提交时间:2022/06/21
SURFACE SOLAR-RADIATION
LONG-WAVE-RADIATION
BROAD-BAND MODELS
AIR-TEMPERATURE
COMPLEX TERRAIN
MODIS DATA
IRRADIANCE PREDICTIONS
THEMATIC MAPPER
PART I
CLEAR
Terrestrial carbon cycle model-data fusion: Progress and challenges
期刊论文
SCIENCE CHINA-EARTH SCIENCES, 2021, 卷号: 64, 期号: 10
作者:
Li, Xin
;
Ma, Hanqing
;
Ran, Youhua
;
Wang, Xufeng
;
Zhu, Gaofeng
;
Liu, Feng
;
He, Honglin
;
Zhang, Zhen
;
Huang, Chunlin
收藏
  |  
浏览/下载:39/0
  |  
提交时间:2022/04/28
DATA-ASSIMILATION SYSTEM
GLOBAL VEGETATION MODELS
LAND-SURFACE MODEL
ECOSYSTEM MODEL
SENSITIVITY-ANALYSIS
LEAF SCALE
UNCERTAINTY
PRODUCTIVITY
PERSPECTIVE
PARAMETERS
Variations in Wedge Earthquake Distribution along the Strike Underlain by Thermally Controlled Hydrated Megathrusts
期刊论文
APPLIED SCIENCES-BASEL, 2021, 卷号: 11, 期号: 16
作者:
Qu, Rui
;
Ji, Yingfeng
;
Zhu, Weiling
收藏
  |  
浏览/下载:31/0
  |  
提交时间:2022/06/21
HEAT-FLOW DATA
MANTLE WEDGE
GEOTHERMAL GRADIENT
SLAB DEHYDRATION
SUBDUCTION ZONES
JAPAN
PACIFIC
MODELS
ALASKA
ROCKS
A data-driven approach to generate past GRACE-like terrestrial water storage solution by calibrating the land surface model simulations
期刊论文
, 2020, 卷号: 143
作者:
Jing W.
;
Di L.
;
Zhao X.
;
Yao L.
;
Xia X.
;
Liu Y.
;
Yang J.
;
Li Y.
;
Zhou C.
收藏
  |  
浏览/下载:41/0
  |  
提交时间:2020/07/28
Decision trees
Digital storage
Evapotranspiration
Geodetic satellites
Groundwater
Learning systems
Soil moisture
Surface measurement
Water conservation
Water supply
Data-driven approach
Ensemble learning algorithm
Gravity recovery and climate experiment satellites
Groundwater storage
Land surface modeling
Machine learning models
Terrestrial water storage
Variable importances
Learning algorithms