Results 31 to 40 of about 51,349 (299)

Global-scale modeling of groundwater recharge [PDF]

, 2007
Long-term average groundwater recharge, which is equivalent to renewable groundwater resources, is the major limiting factor for the sustainable use of groundwater.
P. Döll, Fiedler, Kristina, Döll, P., Döll, Petra, Fiedler, K., K. Fiedler   +5 more
core   +1 more source

Wind Speed Retrieval Using Global Precipitation Measurement Dual-Frequency Precipitation Radar Ka-Band Data at Low Incidence Angles

Remote Sensing, 2022
In this study, sea surface wind speed was retrieved using the Global Precipitation Measurement (GPM) dual-frequency precipitation radar (DPR) Ka-band data. In order to establish the Ka-band model at low incidence angles, the dependence of the DPR Ka-band
Chong Jiang, Lin Ren, Jingsong Yang, Qing Xu, Jinyuan Dai   +4 more
doaj   +1 more source

Engineering of the global precipitation measurement system [PDF]

2003 IEEE Aerospace Conference Proceedings (Cat. No.03TH8652), 2004
Global Precipitation Measurement (GPM) is an international effort to improve climate, weather, and hydrological prediction through more accurate and more frequent precipitation measurements. GPM will be conducted through an international partnership led by the National Aeronautics and Space Administration (NASA) of the United States and the National ...
Everett, D. F., Bidwell, S. W., Flaming, G. M., Rykowski, T. B., Stocker, E. F., Braatz, L. E.   +5 more
openaire   +2 more sources

Comparison of Multi-Satellite Precipitation Data from the Global Precipitation Measurement Mission and Tropical Rainfall Measurement Mission Datasets: Seasonal and Diurnal Cycles

Advances in Meteorology, 2022
A comparison was made between seasonal and diurnal variations in the Integrated Multi-Satellite Retrievals for Global Precipitation Measurement (IMERG) version 06B Final run and TRMM Multi-Satellite Precipitation Analysis (TMPA) 3B42 version 7 products ...
Yilei Wang, Qiaoyan Wu
doaj   +1 more source

Characteristics and Diurnal Cycle of GPM Rainfall Estimates over the Central Amazon Region

Remote Sensing, 2016
Studies that investigate and evaluate the quality, limitations and uncertainties of satellite rainfall estimates are fundamental to assure the correct and successful use of these products in applications, such as climate studies, hydrological modeling ...
Rômulo Oliveira, Viviana Maggioni, Daniel Vila, Carlos Morales   +3 more
doaj   +1 more source

Can current moisture responses predict soil CO2 efflux under altered precipitation regimes?: a synthesis of manipulation experiments [PDF]

, 2014
As a key component of the carbon cycle, soil CO2 efflux (SCE) is being increasingly studied to improve our mechanistic understanding of this important carbon flux. Predicting ecosystem responses to climate change often depends on extrapolation of current
Janssens, I.A., G. Guidolotti, Smith, A.R., van Straaten, O, Scotta, E.D., Bentley, Lisa Patrick, Kahmen, A., van Gestel, N, Ambuis, P., I. K. Schmidt, Miao, Yuan, Larsen, K., Tietema, A, Tietema, Albert, Van Straaten, Oliver, Buchmann, Nina, Schmidt, Inger Kappel, L. E. Rustad, Larsen, K.S., Suseela, Vidya, Arft, A. M., Marshall, M., Poll, Christian, Smith, AR, Savage, Kathleen E., T. Ladreiter-Knauss, Arain, M. A., Ambus, P, C. Poll, GATO, G. de, Vicca, S., Kahmen, A, Lellei-Kovacs, Eszter, S. Marhan, Savage, K., Tietema, A., Beier, C., N. van Gestel, O. van Straaten, Buchmann, Nina; id_orcid, Schmidt, I., Escolar, C., de Dato, Giovanbattista D., Van Loon, E. Emiel, J. Peñuelas, van Loon, E.E., Rustad, L.E., Arain, M. Altaf, Ladreiter-Knauss, T, Savage, Kathleen, Dukes, Jeffrey S, A. Kahmen, Schmidt, IK, Dukes, Jeffrey S., Niklaus, P. A., P. J. Hanson, Sotta, E. D., Escolar, C, Alberti, Giorgio F., Vargas, R, Lebrija-Trejos, E, Guidolotti, G., Bahn, Michael, Larsen, K. S., Rustad, L. E., Wan, Shiqiang, Poll, C, J. S. Dukes, Wan, S., Kahmen, Ansgar, Fay, P, Vargas, Rodrigo, Hanson, P., Weber, U., G. Alberti, Arain, A.M., S. L. Collins, P. Fay, Schindlbacher, A., Collins, Sally L., Loon, E. Emiel van, Muhr, J., E. E. van Loon, Smith, A. R., Dukes, J., A. Tietema, Hanson, PJ, Marhan, S., J. Muhr, Marshall, Miles Ramsvik, Niklaus, Pascal Alex, Bentley, L. P., S. Vicca, C. Beier, Kroel-Dulay, G, de Dato, G, P. A. Niklaus, Peñuelas, Josep, Alberti, Giorgio, U. Weber, Dukes, JS, Beier, Claus, Meir, Patrick, Larsen, Klaus Steenberg, F. T. Maestre, Janssens, I. A., Marhan, Sven, Sotta, E., Van Gestel, Natasja C., van Loon, E. E., Maestre, Fernando T., Gestel, Natasja van, Arain, MA, Ogaya Inurrigarro, Romà, Dukes, J.S., Vicca, S, Lebrija-Trejos, E., Ladreiter-Knauss, Thomas, Ogaya, R, et al, Arain, M., Buchmann, N., Sotta, ED, Guidolotti, G, Ladreiter-Knauss, T., Niklaus, P.A., Suseela, V., Marhan, S, Lebrija-Trejos, Edwin E., Collins, S., Schmidt, I.K., E. Lebrija-Trejos, Beier, C, E. Lellei-Kovacs, Guidolotti, Gabriele, Bentley, LP, Marshall, Miles, Collins, S. L., Niklaus, PA, Borken, Werner, Hanson, Paul J., Rustad, L., A. R. Smith, Weber, Ulrich, Niklaus, P., Buchmann, N, Estiarte, Marc, Kröel-Dulay, György, Sotta, Eleneide Doff, Wenber, U., Collins, SL, Smith, Andy R., Collins, S.L., M. A. Arain, Ambus, Per, Schindlbacher, A, Schindlbacher, Andreas, Rustad, Lindsey, Hanson, P.J., Y. Miao, M. Bahn, G. de Dato, Niklaus, Pascal, Meir, P, Borken, W, C. Escolar, G. Kröel-Dulay, Suseela, V, Bahn, M, Kappel Schmidt, Inger, K. S. Larsen, Dukes, J. S., S. Wan, Fay, P., Collins, Scott L., W. Borken, I. A. Janssens, Sotta, E.D., Alberti, G, Vargas, R., Ambus, P., Muhr, Jan, Smith, A.R, Dato, Giovanbattista D. de, Niklaus, Pascal A., N. Buchmann, Estiarte, M., Arain, Muhammad A., R. Vargas, Lellei-Kovacs, E., Ambus, Per Lennart, Maestre, FT, Janssens, I., de Dato, Giovanbattista, Fay, Philip, Miao, Y., Arlain, M.A., R. Ogaya, Dukes, Jeffrey, Muhr, J, Bahn, Michael., Lebrija-Trejos, Edwin, van Straaten, O., L. P. Bentley, E. D. Sotta, Hanson, P. J., Janssens, IA, Ogaya, R., Janssens, Ivan, Marshall, M, Poll, C., Borken, W., Ogaya, Romà, Meir, P., Escolar, Cristina, Arain, M.A., Penuelas, J., Weber, U, P. Meir, Maestre, F.T., van Loon, E.E.; id_orcid, Estiarte, M, Savage, K, van Loon, E., Kroeel-Dulay, G., A. Schindlbacher, Dukes, J.S, Fay, Philip A., Straaten, Oliver van, Smith, Andrew R., Miao, Y, K. Savage, Giorgio, Alberti, V. Suseela, Smith, A., Maestre, F. T., de Dato, G., Janssens, Ivan A., de Gato, G., Kroel-Dulay, G., Maestre, F., M. Marshall, Wan, S, Vicca, Sara, Bentley, L.P., van Loon, E E, Schinlbacher, A., Rustad, Lindsey E., M. Estiarte, P. Ambus, van Loon, EE, Penuelas, J, Schmidt, I. K., Larsen, KS, van Gestel, N., Rustad, LE, Bentley, L., Lellei-Kovacs, E, Bahn, M., Alberti, G.   +259 more
core   +1 more source

The Global Precipitation Measurement Mission: Product Validation and Model Evaluation Studies [PDF]

, 2021
The Global Precipitation Measurement (GPM) mission, an international satellite constellation of microwave remote sensors that observes global precipitation, aims to improve our understanding of the Earth’s water cycle and energy budget.
Daniel C. Watters (11771574)
core   +1 more source

Comprehensive Evaluation of Global Precipitation Measurement Mission (GPM) IMERG Precipitation Products over Mainland China [PDF]

, 2021
Due to the difficulty involved in obtaining and processing a large amount of data, the spatial distribution of the quality and error structure of satellite precipitation products and the climatic dependence of the error sources have not been studied ...
Linjiang Nan, Mingxiang Yang, Shaokui Hao, Hao Wang, Zhenglin Xiang   +4 more
core   +1 more source

Seasonal Error Component Analysis of the GPM IMERG Version 05 Precipitation Estimations Over Sichuan Basin of China

Earth and Space Science, 2021
An error decomposition method is used to analyze and track seasonal error sources of the Integrated Multi‐satellitE Retrievals for the Global Precipitation Measurement (IMERG) Version 05 daily precipitation estimations, including Early‐, Late‐, and Final‐
S. Tang, R. Li, J. He, X. Fan, H. Wang, S. Yao   +5 more
doaj   +1 more source

Three years of the global precipitation measurement (GPM) mission [PDF]

2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2017
Water is essential to our planet Earth. Knowing when, where and how precipitation falls is crucial for understanding the linkages between the Earth's water and energy cycles and is extraordinarily important for sustaining life on our planet during climate change.
Gail M. Skofronick-Jackson, George Huffman, Walter A. Petersen   +2 more
openaire   +1 more source