Výsledky vyhledávání - "W. A. Perkins"

Akademický článek

cfr (v2024.1.26): a Python package for climate field reconstruction

Autor: F. Zhu, J. Emile-Geay, G. J. Hakim, D. Guillot, D. Khider, R. Tardif, W. A. Perkins

Publikováno v: Geoscientific Model Development, Vol 17, Pp 3409-3431 (2024)

Climate field reconstruction (CFR) refers to the estimation of spatiotemporal climate fields (such as surface temperature) from a collection of pointwise paleoclimate proxy datasets. Such reconstructions can provide rich information on climate dynami

Externí odkaz: https://doaj.org/article/fbd3fe7af9a44dd297583eda127bebd5

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Akademický článek

Global Precipitation Correction Across a Range of Climates Using CycleGAN

Autor: J. McGibbon, S. K. Clark, B. Henn, A. Kwa, O. Watt‐Meyer, W. A. Perkins, C. S. Bretherton

Publikováno v: Geophysical Research Letters, Vol 51, Iss 4, Pp n/a-n/a (2024)

Abstract Accurate precipitation simulations for various climate scenarios are critical for understanding and predicting the impacts of climate change. This study employs a Cycle‐generative adversarial network (CycleGAN) to improve global 3‐hr‐a

Externí odkaz: https://doaj.org/article/40b689eb4550496cb54cd7ea335bdd41

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Akademický článek

Modeling of streamflow in a 30 km long reach spanning 5 years using OpenFOAM 5.x

Autor: Y. Chen, J. Bao, Y. Fang, W. A. Perkins, H. Ren, X. Song, Z. Duan, Z. Hou, X. He, T. D. Scheibe

Publikováno v: Geoscientific Model Development, Vol 15, Pp 2917-2947 (2022)

Developing accurate and efficient modeling techniques for streamflow at the tens-of-kilometers spatial scale and multi-year temporal scale is critical for evaluating and predicting the impact of climate- and human-induced discharge variations on rive

Externí odkaz: https://doaj.org/article/fcff8bd03ba648ba91f96be41bc6a243

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Akademický článek

fv3gfs-wrapper: a Python wrapper of the FV3GFS atmospheric model

Autor: J. McGibbon, N. D. Brenowitz, M. Cheeseman, S. K. Clark, J. P. S. Dahm, E. C. Davis, O. D. Elbert, R. C. George, L. M. Harris, B. Henn, A. Kwa, W. A. Perkins, O. Watt-Meyer, T. F. Wicky, C. S. Bretherton, O. Fuhrer

Publikováno v: Geoscientific Model Development, Vol 14, Pp 4401-4409 (2021)

Simulation software in geophysics is traditionally written in Fortran or C++ due to the stringent performance requirements these codes have to satisfy. As a result, researchers who use high-productivity languages for exploratory work often find these

Externí odkaz: https://doaj.org/article/42b19e5628f24927b04c30ad89b60bfd

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Akademický článek

Last Millennium Reanalysis with an expanded proxy database and seasonal proxy modeling

Autor: R. Tardif, G. J. Hakim, W. A. Perkins, K. A. Horlick, M. P. Erb, J. Emile-Geay, D. M. Anderson, E. J. Steig, D. Noone

Publikováno v: Climate of the Past, Vol 15, Pp 1251-1273 (2019)

The Last Millennium Reanalysis (LMR) utilizes an ensemble methodology to assimilate paleoclimate data for the production of annually resolved climate field reconstructions of the Common Era. Two key elements are the focus of this work: the set of ass

Externí odkaz: https://doaj.org/article/672b57102f164bf9b45a3bccc1f3c26f

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Akademický článek

Reconstructing paleoclimate fields using online data assimilation with a linear inverse model

Autor: W. A. Perkins, G. J. Hakim

Publikováno v: Climate of the Past, Vol 13, Iss 5, Pp 421-436 (2017)

We examine the skill of a new approach to climate field reconstructions (CFRs) using an online paleoclimate data assimilation (PDA) method. Several recent studies have foregone climate model forecasts during assimilation due to the computational expe

Externí odkaz: https://doaj.org/article/210b00a0486b4fb9bbc332e497b28e57

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