Zobrazeno 1 - 10
of 27 005
pro vyhledávání: '"Q. Tang"'
Publikováno v:
Atmospheric Chemistry and Physics, Vol 24, Pp 10741-10758 (2024)
Eulerian and Lagrangian numerical moisture tracking models, which are primarily used to quantify moisture contributions from global sources to specific regions, play a crucial role in hydrology and (paleo)climatology studies on the Tibetan Plateau (T
Externí odkaz:
https://doaj.org/article/f3ec0c64d39442aa8b17a030bc460b8d
Publikováno v:
Geoscientific Model Development, Vol 17, Pp 7029-7050 (2024)
Using the regionally refined mesh (RRM) configuration of the US Department of Energy's Simple Cloud-Resolving Energy Exascale Earth System Model (E3SM) Atmosphere Model (SCREAM), we simulate and evaluate four meteorologically distinct atmospheric riv
Externí odkaz:
https://doaj.org/article/d87bff268ca642a68f5738743b27eef3
Publikováno v:
Earth System Science Data, Vol 16, Pp 3993-4019 (2024)
Accurate and timely global evapotranspiration (ET) data are crucial for agriculture, water resource management, and drought forecasting. Although numerous satellite-based ET products are available, few offer near-real-time data. For instance, product
Externí odkaz:
https://doaj.org/article/b8951e4b4256449a81e4297711bb729b
Publikováno v:
Geoscientific Model Development, Vol 17, Pp 3687-3731 (2024)
The spatial heterogeneity related to complex topography in California demands high-resolution (< 5 km) modeling, but global convection-permitting climate models are computationally too expensive to run multi-decadal simulations. We developed a 3.25 k
Externí odkaz:
https://doaj.org/article/e1795ecf3fd24beaa57d281fd1716f6a
Publikováno v:
Geoscientific Model Development, Vol 17, Pp 3559-3578 (2024)
This article describes a modular ensemble-based data assimilation (DA) system which is developed for an integrated surface–subsurface hydrological model. The software environment for DA is the Parallel Data Assimilation Framework (PDAF), which prov
Externí odkaz:
https://doaj.org/article/bde0d6c0217c4167855ad75ce100d003
Autor:
Y. Zhang, S. Xie, Y. Qin, W. Lin, J.-C. Golaz, X. Zheng, P.-L. Ma, Y. Qian, Q. Tang, C. R. Terai, M. Zhang
Publikováno v:
Geoscientific Model Development, Vol 17, Pp 169-189 (2024)
This study documents clouds simulated by the Energy Exascale Earth System Model (E3SM) version 2 (E3SMv2) and attempts to understand what causes the model behavior change in clouds relative to E3SMv1. This is done by analyzing the last 30-year (1985
Externí odkaz:
https://doaj.org/article/e40c38b98ae54c92ae18f6b22a45593c
Autor:
Q. Tang, J.-C. Golaz, L. P. Van Roekel, M. A. Taylor, W. Lin, B. R. Hillman, P. A. Ullrich, A. M. Bradley, O. Guba, J. D. Wolfe, T. Zhou, K. Zhang, X. Zheng, Y. Zhang, M. Zhang, M. Wu, H. Wang, C. Tao, B. Singh, A. M. Rhoades, Y. Qin, H.-Y. Li, Y. Feng, C. Zhang, C. S. Zender, S. Xie, E. L. Roesler, A. F. Roberts, A. Mametjanov, M. E. Maltrud, N. D. Keen, R. L. Jacob, C. Jablonowski, O. K. Hughes, R. M. Forsyth, A. V. Di Vittorio, P. M. Caldwell, G. Bisht, R. B. McCoy, L. R. Leung, D. C. Bader
Publikováno v:
Geoscientific Model Development, Vol 16, Pp 3953-3995 (2023)
This paper provides an overview of the United States (US) Department of Energy's (DOE's) Energy Exascale Earth System Model version 2 (E3SMv2) fully coupled regionally refined model (RRM) and documents the overall atmosphere, land, and river results
Externí odkaz:
https://doaj.org/article/c74f48bbdf6b4f03a5dd135d9bc43a71
Publikováno v:
Journal of Applied Fluid Mechanics, Vol 16, Iss 8, Pp 1675-1689 (2023)
The S1 stream surface inverse method for a single-stage axial transonic compressor was developed and studied under the guidance of the quasi-three-dimensional viscous design theory, based on computational fluid dynamics (CFD), in order to establish a
Externí odkaz:
https://doaj.org/article/fcbe44eb925e4d8d9548a5379051e013
Autor:
H. Kreibich, K. Schröter, G. Di Baldassarre, A. F. Van Loon, M. Mazzoleni, G. W. Abeshu, S. Agafonova, A. AghaKouchak, H. Aksoy, C. Alvarez-Garreton, B. Aznar, L. Balkhi, M. H. Barendrecht, S. Biancamaria, L. Bos-Burgering, C. Bradley, Y. Budiyono, W. Buytaert, L. Capewell, H. Carlson, Y. Cavus, A. Couasnon, G. Coxon, I. Daliakopoulos, M. C. de Ruiter, C. Delus, M. Erfurt, G. Esposito, D. François, F. Frappart, J. Freer, N. Frolova, A. K. Gain, M. Grillakis, J. O. Grima, D. A. Guzmán, L. S. Huning, M. Ionita, M. Kharlamov, D. N. Khoi, N. Kieboom, M. Kireeva, A. Koutroulis, W. Lavado-Casimiro, H.-Y. Li, M. C. LLasat, D. Macdonald, J. Mård, H. Mathew-Richards, A. McKenzie, A. Mejia, E. M. Mendiondo, M. Mens, S. Mobini, G. S. Mohor, V. Nagavciuc, T. Ngo-Duc, H. T. T. Nguyen, P. T. T. Nhi, O. Petrucci, N. H. Quan, P. Quintana-Seguí, S. Razavi, E. Ridolfi, J. Riegel, M. S. Sadik, N. Sairam, E. Savelli, A. Sazonov, S. Sharma, J. Sörensen, F. A. A. Souza, K. Stahl, M. Steinhausen, M. Stoelzle, W. Szalińska, Q. Tang, F. Tian, T. Tokarczyk, C. Tovar, T. V. T. Tran, M. H. J. van Huijgevoort, M. T. H. van Vliet, S. Vorogushyn, T. Wagener, Y. Wang, D. E. Wendt, E. Wickham, L. Yang, M. Zambrano-Bigiarini, P. J. Ward
Publikováno v:
Earth System Science Data, Vol 15, Pp 2009-2023 (2023)
As the adverse impacts of hydrological extremes increase in many regions of the world, a better understanding of the drivers of changes in risk and impacts is essential for effective flood and drought risk management and climate adaptation. However,
Externí odkaz:
https://doaj.org/article/36aa2c1316c0428fbdfc70d7aba48b34
Publikováno v:
Geoscientific Model Development, Vol 16, Pp 335-352 (2023)
In this paper we develop a novel framework aimed to significantly reduce biases related to marine stratocumulus clouds in general circulation models (GCMs) while circumventing excessive computational cost requirements. Our strategy is to increase the
Externí odkaz:
https://doaj.org/article/47e10a36428c496884fcd818729d5744