Results 51 to 60 of about 316,560 (317)

GRACE-Based Terrestrial Water Storage in Northwest China: Changes and Causes [PDF]

Remote Sensing, 2018
Monitoring variations in terrestrial water storage (TWS) is of great significance for the management of water resources. However, it remains a challenge to continuously monitor TWS variations using in situ observations and hydrological models because of a limited number of gauge stations and the complicated spatial distribution characteristics of TWS ...
Yangyang Xie, Shengzhi Huang, Saiyan Liu, Guoyong Leng, Jian Peng 0006, Qiang Huang, Pei Li   +6 more
openaire   +6 more sources

Technical Note: Comparison of storage strategies of sea surface microlayer samples [PDF]

, 2013
The sea surface microlayer (SML) is an important biogeochemical system whose physico-chemical analysis often necessitates some degree of sample storage.
Mann, Paul, Upstill-Goddard, Robert, K. Schneider-Zapp, P. J. Mann, Salter, Matthew, R. C. Upstill-Goddard, Schneider-Zapp, K., Schneider-Zapp, Klaus, Salter, Matt E.,, Upstill-Goddard, R. C., M. E. Salter, Mann, P. J.   +11 more
core   +1 more source

Annual memory in the terrestrial water cycle [PDF]

Hydrology and Earth System Sciences
The water balance of catchments will, in many cases, strongly depend on its state in the recent past (e.g. previous days). Processes causing significant hydrological memory may persist at longer timescales (e.g. annual). The presence of such memory could
W. R. Berghuijs, R. A. Woods, B. J. Anderson, B. J. Anderson, A. L. Hemshorn de Sánchez, M. Hrachowitz   +5 more
doaj   +1 more source

Towards regional, error-bounded landscape carbon storage estimates for data-deficient areas of the world [PDF]

, 2012
Monitoring landscape carbon storage is critical for supporting and validating climate change mitigation policies. These may be aimed at reducing deforestation and degradation, or increasing terrestrial carbon storage at local, regional and global levels.
Burgess, Neil David, Bayliss Julian, Swetnam, R D, Jon C. Lovett (136269), Bayliss, Julian, Ahrends Antje, Lovett, Jon C, Burgess, N D, Owen, Nisha, Munishi, P K T, Fanning Eibleis, Nisha Owen, Ahrends, A, Andrew R Marshall, Pantaleon K T Munishi, Willcock, S, Green, Jonathan, Howell, Kim L., Mbilinyi, Boniface, Julian Bayliss, Lewis, Simon L., Rob Marchant, Elmer J. Topp-Jorgensen (136295), Hall, Jaclyn, Mbiliny, B., Andrew Balmford (104996), Hall Jaclyn, Ahrends, Antje, Boniface Mbilinyi (136287), Lewis, Simon L, Ruth D Swetnam, Julian Bayliss (136089), Lovett, Jon C., Hall, J, Doody, K, Neil D. Burgess (136266), Rob Marchant (136283), Philip J Platts, Marchant, Rob, Swetnam Ruth D., Nike Doggart (136272), Simon Willcock, Nike Doggart, Phillips, O L, Oliver L. Phillips (136260), Topp-Jorgensen, E.J., Doggart, Nike, Phillips, O.L., Platts, P J, Fanning, Eibleis, Doody Kathryn, Howell, K.L., Marchant, R., Topp-Jorgensen, Elmer J, Lewis Simon L., Burgess, ND, Mbilinyi, B, Phillips, Oliver L, Jaclyn Hall, Platts Philip J., Doggart, N.H., Green Jonathan, Minishi, P.K.T., Platts, Philip J, Simon L. Lewis (136299), Topp-Jorgensen, EJ, Kim L Howell, Green, J., Marshall, Andrew R, Green, Jonathan Michael Halsey, Pantaleon K. T. Munishi (136289), Ruth D. Swetnam (136292), Marchant Rob, Lovett, J C, Bayliss, J, Topp-Jorgensen, Elmer J., Green, J, Marshall, A.R., Marchant, R, Antje Ahrends, Jonathan Green, Lewis, S.L., Swetnam, R.D., Munishi, Pantaleon K T, Burgess, Neil D., Doody, Kathryn, Nisha Owen (136290), Phillips, OL, Hall, J., Owen Nisha, Bayliss, J., Mbilinyi Boniface, Antje Ahrends (128927), Willcock, S., Eibleis Fanning, Balmford Andrew, Simon Willcock (136256), Platts, PJ, Topp-Jorgensen Elmer J., Balmford, A, Swetnam, Ruth D., Phillips, Oliver L., Eibleis Fanning (136277), Lewis, SL, Ahrends, A., Willcock Simon, Burgess, N.D., Jaclyn Hall (136279), Kathryn Doody, Munishi, Pantaleon K. T., Owen, N., Lovett, JC, Phillips Oliver L., Howell Kim L., Munishi, Pantaleon K.T., Balmford, Andrew, Jonathan Green (22815), Marshall, AR, Platts, P.J., Kim L. Howell (136281), Lovett Jon C., Doggart, N, Lovett, Jonathan Cranidge, Andrew R. Marshall (136285), Neil D Burgess, Fanning, E., Elmer J Topp-Jorgensen, Philip J. Platts (136263), Willcock, Simon, Fanning, E, Howell, K L, Owen, N, Burgess Neil D., Platts, Philip J., Oliver L Phillips, Howell, Kim, Marshall, Andrew R., Marshall Andrew R., Balmford, A., Burgess, Neil D, Howell, KL, Kathryn Doody (136274), Munishi Pantaleon K. T., Andrew Balmford, Swetnam, RD, Doody, K., Munishi, PKT, Simon L Lewis, Boniface Mbilinyi, Doggart Nike, Jon C Lovett   +150 more
core   +1 more source

Validation of terrestrial water storage variations as simulated by different global numerical models with GRACE satellite observations [PDF]

Hydrology and Earth System Sciences, 2017
Estimates of terrestrial water storage (TWS) variations from the Gravity Recovery and Climate Experiment (GRACE) satellite mission are used to assess the accuracy of four global numerical model realizations that simulate the continental branch of the ...
L. Zhang, H. Dobslaw, T. Stacke, A. Güntner, R. Dill, M. Thomas   +5 more
doaj   +1 more source

An Improved GPS-Inferred Seasonal Terrestrial Water Storage Using Terrain-Corrected Vertical Crustal Displacements Constrained by GRACE

Remote Sensing, 2019
Based on a geophysical model for elastic loading, the application potential of Global Positioning System (GPS) vertical crustal displacements for inverting terrestrial water storage has been demonstrated using the Tikhonov regularization and the Helmert ...
Hok Sum Fok, Yongxin Liu
doaj   +1 more source

Global modelling of continental water storage changes : sensitivity to different climate data sets

, 2007
Since 2002, the GRACE satellite mission provides estimates of the Earth's dynamic gravity field with unprecedented accuracy. Differences between monthly gravity fields contain a clear hydrological signal due to continental water storage changes. In order
P. Döll, Fiedler, Kristina, Döll, P., Döll, Petra, Fiedler, K., K. Fiedler   +5 more
core   +1 more source

Performance Evaluation of a Potential Component of an Early Flood Warning System—A Case Study of the 2012 Flood, Lower Niger River Basin, Nigeria

Remote Sensing, 2019
Floods frequently occur in Nigeria. The catastrophic 2012 flood in Nigeria claimed 363 lives and affected about seven million people. A total loss of about 2.29 trillion Naira (7.2 billion US Dollars) was estimated.
Dorcas Idowu, Wendy Zhou
doaj   +1 more source

Filling Temporal Gaps within and between GRACE and GRACE-FO Terrestrial Water Storage Records: An Innovative Approach

Remote Sensing, 2022
Temporal gaps within the Gravity Recovery and Climate Experiment (GRACE) (gap: 20 months), between GRACE and GRACE Follow-On (GRACE-FO) missions (gap: 11 months), and within GRACE-FO record (gap: 2 months) make it difficult to analyze and interpret ...
Bimal Gyawali, Mohamed Ahmed, D. Murgulet, D. Wiese   +3 more
semanticscholar   +1 more source

An Interannual Probabilistic Assessment of Subsurface Water Storage Over Europe Using a Fully Coupled Terrestrial Model

, 2021
The years 2018 and 2019 were two of the hottest and driest in Mid‐Europe, highlighting the need for a comprehensive assessment of available water resources.
Klaus Goergen, Goergen, Klaus, Carina Furusho‐Percot, Hartick, Carl, Kollet, Stefan, Furusho-Percot, Carina, Furusho‐Percot, Carina, Carl Hartick, Stefan Kollet   +8 more
core   +1 more source