scholarly journals Editorial for Special Issue “Remote Sensing Water Cycle: Theory, Sensors, Data, and Applications”

2019 ◽  
Vol 11 (10) ◽  
pp. 1210 ◽  
Author(s):  
Wei Wan ◽  
Hongjie Xie ◽  
Emad Hasan ◽  
Yang Hong
Keyword(s):  
Remote Sensing ◽  
Water Cycle ◽  
Special Issue ◽  
Global Water Cycle ◽  
Global Water

Global water cycle dynamics involve the exchange of water and energy matter among the atmosphere, hydrosphere, geosphere, cryosphere, and biosphere [...]

scholarly journals Remote-sensing-based estimates of the fundamental global water cycle: Annual cycle

2005 ◽  
Vol 110 (D22) ◽  
Author(s):  
Vikram M. Mehta ◽  
Andrew J. DeCandis ◽  
Amita V. Mehta
Keyword(s):  
Remote Sensing ◽  
Annual Cycle ◽  
Water Cycle ◽  
Global Water Cycle ◽  
Global Water

scholarly journals Global water cycle and remote sensing big data: overview, challenge, and opportunities

2018 ◽  
Vol 2 (3) ◽  
pp. 282-297 ◽  
Author(s):  
Yaokui Cui ◽  
Xi Chen ◽  
Jinyu Gao ◽  
Binyan Yan ◽  
Guoqiang Tang ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Big Data ◽  
Water Cycle ◽  
Global Water Cycle ◽  
Global Water

Multi-source quantification of precipitation in the global water cycle

2020 ◽  
Author(s):  
Mijael Rodrigo Vargas Godoy ◽  
Rajani Kumar Pradhan ◽  
Shailendra Pratap ◽  
Akif Rahim ◽  
Yannis Markonis
Keyword(s):  
Remote Sensing ◽  
Water Cycle ◽  
Remote Sensing Data ◽  
Time Frame ◽  
Global Scale ◽  
Global Water Cycle ◽  
Data Products ◽  
Surrounding Areas ◽  
Global Precipitation ◽  
Global Water

<p>The knowledge of global precipitation is of crucial importance to the study of climate dynamics and the global water cycle in general. Although global precipitation climatologies have existed for some time, and their understanding has improved dramatically due to the vast amount of different data sources, their information has not been comprehensive enough due to precipitation spatial-temporal variability. Thus, ground station reports are, in some cases, not representative of the surrounding areas. Remote sensing data and model simulations complemented the traditional surface measurements and offered unprecedented coverage on a global scale. It is important to note that satellite data records are now of sufficient time frame lengths and with methods “mature” enough to develop meaningful precipitation climatologies that are able to provide information on precipitation patterns and intensities on a global scale. While data (and in some cases exploration/visualization tools as well) are widely available, each dataset comes with different spatial resolution, temporal resolution, and biases.</p><p>Consequently, this unique opportunity to obtain a robust quantification of global precipitation has been hindered by the uncertainty, already revealed in the first attempts of the unification of different data products. Herein, we present a multi-source quantification of global precipitation, focusing on the description of the underlying uncertainties. Our approach combines station (CRU, GHCN-M, PRECL, UDEL, and CPC Global), remote sensing (PERSIANN, PERSIANN-CCS, PERSIANN-CDR, GPCP, GPCP_PEN_v2.2, CMAP, and CPC-Global) and reanalysis (NCEP1, NCEP2, and 20CRv2) data products, providing an updated overview of the role of precipitation in global water cycle.</p>

The global water cycle and continental erosion during Phanerozoic time (570 my)

1989 ◽  
Vol 289 (4) ◽  
pp. 455-483 ◽  
Author(s):  
Y. Tardy ◽  
R. N'Kounkou ◽  
J.-L. Probst
Keyword(s):  
Water Cycle ◽  
Global Water Cycle ◽  
Continental Erosion ◽  
Global Water

scholarly journals Transferability Intercomparison: An Opportunity for New Insight on the Global Water Cycle and Energy Budget

2007 ◽  
Vol 88 (3) ◽  
pp. 375-384 ◽  
Author(s):  
E. S. Takle ◽  
J. Roads ◽  
B. Rockel ◽  
W. J. Gutowski ◽  
R. W. Arritt ◽  
...  
Keyword(s):  
Energy Budget ◽  
Climate Models ◽  
Climate Model ◽  
Water Cycle ◽  
Regional Climate ◽  
Climate Conditions ◽  
Continental Scale ◽  
Global Water Cycle ◽  
Wide Range ◽  
Global Water

A new approach, called transferability intercomparisons, is described for advancing both understanding and modeling of the global water cycle and energy budget. Under this approach, individual regional climate models perform simulations with all modeling parameters and parameterizations held constant over a specific period on several prescribed domains representing different climatic regions. The transferability framework goes beyond previous regional climate model intercomparisons to provide a global method for testing and improving model parameterizations by constraining the simulations within analyzed boundaries for several domains. Transferability intercomparisons expose the limits of our current regional modeling capacity by examining model accuracy on a wide range of climate conditions and realizations. Intercomparison of these individual model experiments provides a means for evaluating strengths and weaknesses of models outside their “home domains” (domain of development and testing). Reference sites that are conducting coordinated measurements under the continental-scale experiments under the Global Energy and Water Cycle Experiment (GEWEX) Hydrometeorology Panel provide data for evaluation of model abilities to simulate specific features of the water and energy cycles. A systematic intercomparison across models and domains more clearly exposes collective biases in the modeling process. By isolating particular regions and processes, regional model transferability intercomparisons can more effectively explore the spatial and temporal heterogeneity of predictability. A general improvement of model ability to simulate diverse climates will provide more confidence that models used for future climate scenarios might be able to simulate conditions on a particular domain that are beyond the range of previously observed climates.

scholarly journals Ocean Salinities Reveal Strong Global Water Cycle Intensification During 1950 to 2000

Science ◽  
2012 ◽  
Vol 336 (6080) ◽  
pp. 455-458 ◽  
Author(s):  
P. J. Durack ◽  
S. E. Wijffels ◽  
R. J. Matear
Keyword(s):  
Water Cycle ◽  
Global Water Cycle ◽  
Global Water
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