Zobrazeno 1 - 5
of 5
pro vyhledávání: '"I. V. Djalalova"'
Autor:
L. Bianco, B. Adler, L. Bariteau, I. V. Djalalova, T. Myers, S. Pezoa, D. D. Turner, J. M. Wilczak
Publikováno v:
Atmospheric Measurement Techniques, Vol 17, Pp 3933-3948 (2024)
Accurate and continuous estimates of the thermodynamic structure of the lower atmosphere are highly beneficial to meteorological process understanding and its applications, such as weather forecasting. In this study, the Tropospheric Remotely Observe
Externí odkaz:
https://doaj.org/article/07ea75d1afa947abbf92ab340eebcb2d
Publikováno v:
Geoscientific Model Development, Vol 16, Pp 597-619 (2023)
The accurate forecast of persistent orographic cold-air pools in numerical weather prediction models is essential for the optimal integration of wind energy into the electrical grid during these events. Model development efforts during the second Win
Externí odkaz:
https://doaj.org/article/67eca7a0ec7745129a23e3af2a79ac4c
Autor:
J. B. Duncan Jr., L. Bianco, B. Adler, T. Bell, I. V. Djalalova, L. Riihimaki, J. Sedlar, E. N. Smith, D. D. Turner, T. J. Wagner, J. M. Wilczak
Publikováno v:
Atmospheric Measurement Techniques, Vol 15, Pp 2479-2502 (2022)
During the Chequamegon Heterogeneous Ecosystem Energy-balance Study Enabled by a High-density Extensive Array of Detectors 2019 (CHEESEHEAD19) field campaign, held in the summer of 2019 in northern Wisconsin, USA, active and passive ground-based remo
Externí odkaz:
https://doaj.org/article/857c472253804f9e89fa384326af9912
Publikováno v:
Atmospheric Measurement Techniques, Vol 15, Pp 521-537 (2022)
Thermodynamic profiles are often retrieved from the multi-wavelength brightness temperature observations made by microwave radiometers (MWRs) using regression methods (linear, quadratic approaches), artificial intelligence (neural networks), or physi
Externí odkaz:
https://doaj.org/article/2e23613c90e4411391c7fa90fb47d0dd
Autor:
L. Bianco, I. V. Djalalova, J. M. Wilczak, J. B. Olson, J. S. Kenyon, A. Choukulkar, L. K. Berg, H. J. S. Fernando, E. P. Grimit, R. Krishnamurthy, J. K. Lundquist, P. Muradyan, M. Pekour, Y. Pichugina, M. T. Stoelinga, D. D. Turner
Publikováno v:
Geoscientific Model Development, Vol 12, Pp 4803-4821 (2019)
During the second Wind Forecast Improvement Project (WFIP2; October 2015–March 2017, held in the Columbia River Gorge and Basin area of eastern Washington and Oregon states), several improvements to the parameterizations used in the High Resolution
Externí odkaz:
https://doaj.org/article/8cceb9fe0bd74780a1c12da7907c2ddf