http://hdl.handle.net/20.500.11765/14266 2026-07-21T05:59:58Z http://hdl.handle.net/20.500.11765/18058 Título : McIDAS at 50 Years Autor : Lazzara, Matthew A.; Schaffer, Rebecca L.; Santek, David; Robaidek, Jerrold O.; Kohrs, Richard A.; Carp, Robert; Bedka, Kristopher; Nguyen, Louis; Martínez Rubio, Miguel Ángel; Sebenste, Gilbert; Shaw, Brent Resumen : With the dramatic increase in meteorological observational datasets over the past half century, there is an essential need to organize, display, interact with, and generate meteorological products. This need is ever increasing as more observational datasets have become available, especially from satellites. During the 1970s, several projects began developing interactive processing software systems. One of these projects was the Man computer Interactive Data Access System (McIDAS). Today, McIDAS is over 50 years old, has seen five generations of development, and is ever evolving onto the latest computer technology. As an extensible system, McIDAS is employed in a wide set of applications across meteorology, including weather forecasting, atmospheric science research, and education. Over these five decades, McIDAS has been instrumental in facilitating advancements in meteorology such as the development of derived atmospheric motion vectors and unique meteorological displays. Contributions McIDAS has made to meteorology and remote sensing are illustrated via examples from NOAA Operations, Spain’s Agencia Estatal de Meteorologia (AEMET), NASA Langley Research Center (LaRC), and the College of DuPage. McIDAS is also used in special weather forecasting situations at NOAA, NASA, and the U.S. Antarctic Program, as well as at the National Transportation Safety Board (NTSB) for aviation accident investigations. McIDAS continues to visualize imagery from the latest meteorological satellites while utilizing available emerging computer technologies. Beyond these ongoing transformations, McIDAS will maintain the use of extensible data readers that facilitate consistent interactive visualization and analysis capabilities, leveraging the strengths of McIDAS in satellite display and analysis. 2026-01-01T00:00:00Z http://hdl.handle.net/20.500.11765/17980 Título : Pre-training for deep statistical climate downscaling: enhancing consistency and robustness across regional datasets Autor : González-Abad, José; Iturbide, Maialen; Hernanz Lázaro, Alfonso; Gutiérrez, José Manuel Resumen : We explore how deep learning can improve local climate projections by adapting a national model to regional data. By relying on a paradigm called pre-training, we show that models can produce more consistent and physically aligned results, even when data is limited. This helps make future climate projections more reliable and supports better planning at both national and local levels. 2026-01-01T00:00:00Z http://hdl.handle.net/20.500.11765/17979 Título : Ground-based MFRSR UV-Vis spectral retrievals of Saharan dust absorption at Izaña Observatory Autor : Jethva, Hiren; Krotkov, Nickolay; Torres, Omar; Mok, Jungbin; Labow, Gordon; Lind, Elena; Eck, Thomas F.; Gao, Wei; Janson, George; Simpson, Scott; Sharp, Darrin; Lantz, Kathleen; Wilson, Charles; Barreto Velasco, África; García Cabrera, Rosa Delia; Korkin, Sergey; Flittner, David Resumen : A synergistic ground-based remote sensing algorithm applied to Aerosol Robotic Network and Multifilter Rotating Shadowband Radiometer allowed retrievals of UV (ultraviolet)-Vis (visible) spectral aerosol absorption of Saharan dust at the Izaña Atmospheric Observatory. The retrieved dataset provides a valuable reference for evaluating satellite ultraviolet dust absorption inversions and further helps infer dust mineralogy to improve dust representation in Earth System Models. 2026-01-01T00:00:00Z http://hdl.handle.net/20.500.11765/17967 Título : Three-Year Characterization of Boundary Layer Dynamics From GNSS Zenith Wet Delay Spectral Analysis Autor : Kermarrec, Gaël; Calbet, Xavier; Deng, Zhiguo Resumen : Continuous monitoring of boundary layer turbulence remains a challenge due to sparse conventional instrumentation. Here we suggest that spectral analysis of Global Navigation Satellite System (GNSS) zenith wet delay (ZWD) fluctuations yields physically meaningful diagnostics of boundary layer state. From 3 years of co-located GNSS and Doppler lidar observations (January 2022–December 2024) at Payerne, Switzerland, we extract the variance σ², a measure of integrated water vapor turbulence intensity, and the cutoff frequency fc, which marks the spectral extent of turbulent mixing. Annual harmonic analysis reveals that σ² captures 54% of its variance through the seasonal cycle (R² = 0.54, peak in January), while fc peaks in August (R² = 0.49). The inverse σ²–fc coupling (r = -0.61) tightens to r = -0.77 under summer convective conditions, consistent with regime-dependent physical correspondence. Cross-instrument comparison with Doppler lidar turbulent kinetic energy (TKE) integrated over 100–550 m is compatible with the fundamental vertical sampling mismatch between troposphere-weighted GNSS and profile-limited lidar measurements. These results establish GNSS networks as a globally available sensing system for boundary layer turbulence monitoring. 2026-01-01T00:00:00Z