Seasonal soil moisture and crop yield prediction with fifth-generation seasonal forecasting system (SEAS5) long-range meteorological forecasts in a land surface modelling approach

Autor: T. Boas, H. R. Bogena, D. Ryu, H. Vereecken, A. Western, H.-J. Hendricks Franssen

Publikováno v: Hydrology and Earth System Sciences, Vol 27, Pp 3143-3167 (2023)

Long-range weather forecasts provide predictions of atmospheric, ocean and land surface conditions that can potentially be used in land surface and hydrological models to predict the water and energy status of the land surface or in crop growth model

Externí odkaz: https://doaj.org/article/fb07d82d5f1e439fb9eb212820f46121

First High‐Speed Video Camera Observations of a Lightning Flash Associated With a Downward Terrestrial Gamma‐Ray Flash

Autor: R. U. Abbasi, M. M. F. Saba, J. W. Belz, P. R. Krehbiel, W. Rison, N. Kieu, D. R. daSilva, M. A. Stanley, Dan Rodeheffer, J. Remington, J. Mazich, R. LeVon, K. Smout, A. Petrizze, T. Abu‐Zayyad, M. Allen, R. Arimura, E. Barcikowski, D. R. Bergman, S. A. Blake, I. Buckland, B. G. Cheon, M. Chikawa, T. Fujii, K. Fujisue, K. Fujita, R. Fujiwara, M. Fukushima, G. Furlich, N. Globus, R. Gonzalez, W. Hanlon, N. Hayashida, H. He, K. Hibino, R. Higuchi, K. Honda, D. Ikeda, N. Inoue, T. Ishii, H. Ito, D. Ivanov, H. Iwakura, A. Iwasaki, H. M. Jeong, S. Jeong, C. C. H. Jui, K. Kadota, F. Kakimoto, O. Kalashev, K. Kasahara, S. Kasami, S. Kawakami, K. Kawata, I. Kharuk, E. Kido, H. B. Kim, J. H. Kim, S. W. Kim, Y. Kimura, I. Komae, Y. Kubota, M. Kuznetsov, Y. J. Kwon, K. H. Lee, B. Lubsandorzhiev, J. P. Lundquist, T. Matsuyama, J. N. Matthews, R. Mayta, I. Myers, S. Nagataki, K. Nakai, R. Nakamura, T. Nakamura, A. Nakazawa, E. Nishio, T. Nonaka, S. Ogio, M. Ohnishi, H. Ohoka, Y. Oku, T. Okuda, Y. Omura, M. Ono, A. Oshima, S. Ozawa, I. H. Park, M. Potts, M. S. Pshirkov, D. C. Rodriguez, C. Rott, G. I. Rubtsov, D. Ryu, H. Sagawa, N. Sakaki, T. Sako, N. Sakurai, K. Sato, T. Seki, K. Sekino, P. D. Shah, Y. Shibasaki, N. Shibata, T. Shibata, J. Shikita, H. Shimodaira, B. K. Shin, H. S. Shin, D. Shinto, J. D. Smith, P. Sokolsky, B. T. Stokes, T. A. Stroman, K. Takahashi, M. Takamura, M. Takeda, R. Takeishi, A. Taketa, M. Takita, Y. Tameda, K. Tanaka, M. Tanaka, S. B. Thomas, G. B. Thomson, P. Tinyakov, I. Tkachev, H. Tokuno, T. Tomida, S. Troitsky, R. Tsuda, Y. Tsunesada, S. Udo, T. Uehama, F. Urban, D. Warren, T. Wong, M. Yamamoto, K. Yamazaki, K. Yashiro, F. Yoshida, Y. Zhezher, Z. Zundel

Publikováno v: Geophysical Research Letters, Vol 50, Iss 14, Pp n/a-n/a (2023)

Abstract In this paper, we present the first high‐speed video observation of a cloud‐to‐ground lightning flash and its associated downward‐directed Terrestrial Gamma‐ray Flash (TGF). The optical emission of the event was observed by a high�

Externí odkaz: https://doaj.org/article/6abfefcf5d0a4b1a8d8cbe1c938c959c

A Bayesian approach to understanding the key factors influencing temporal variability in stream water quality – a case study in the Great Barrier Reef catchments

Autor: S. Liu, D. Ryu, J. A. Webb, A. Lintern, D. Guo, D. Waters, A. W. Western

Publikováno v: Hydrology and Earth System Sciences, Vol 25, Pp 2663-2683 (2021)

Stream water quality is highly variable both across space and time. Water quality monitoring programmes have collected a large amount of data that provide a good basis for investigating the key drivers of spatial and temporal variability. Event-based

Externí odkaz: https://doaj.org/article/98fc6260a4624405b063f5638823086a

A data-based predictive model for spatiotemporal variability in stream water quality

Autor: D. Guo, A. Lintern, J. A. Webb, D. Ryu, U. Bende-Michl, S. Liu, A. W. Western

Publikováno v: Hydrology and Earth System Sciences, Vol 24, Pp 827-847 (2020)

Our current capacity to model stream water quality is limited – particularly at large spatial scales across multiple catchments. To address this, we developed a Bayesian hierarchical statistical model to simulate the spatiotemporal variability in s

Externí odkaz: https://doaj.org/article/451fcc3ed4814db0bfa52c8297a46e37

Laboratory evidence of dynamo amplification of magnetic fields in a turbulent plasma

Autor: P. Tzeferacos, A. Rigby, A. F. A. Bott, A. R. Bell, R. Bingham, A. Casner, F. Cattaneo, E. M. Churazov, J. Emig, F. Fiuza, C. B. Forest, J. Foster, C. Graziani, J. Katz, M. Koenig, C.-K. Li, J. Meinecke, R. Petrasso, H.-S. Park, B. A. Remington, J. S. Ross, D. Ryu, D. Ryutov, T. G. White, B. Reville, F. Miniati, A. A. Schekochihin, D. Q. Lamb, D. H. Froula, G. Gregori

Publikováno v: Nature Communications, Vol 9, Iss 1, Pp 1-8 (2018)

Exploring astrophysical turbulent effects in laboratory plasma is challenging due to high threshold values of relevant parameters, such as the magnetic Reynolds number. Here the authors demonstrate the turbulent dynamo effect at large magnetic Reynol

Externí odkaz: https://doaj.org/article/bcd5941a893f42419556dc97434afd36