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Borrasca Berenice
No full textBerenice fue la segunda gran borrasca de la temporada 2024-2025. Fue nombrada por la Agencia Estatal de Meteorología el 10 de octubre a las 9:30 UTC. El aviso indicaba acumulados importantes de precipitación, entre 120 y 150 mm en 12 horas, que podrían provocar inundaciones en zonas del suroeste de la península ibérica a partir de las 16 UTC del día 11. Al igual que su borrasca antecesora, Aitor, no se esperaba que pudiera provocar vientos cuyas rachas superasen los umbrales de aviso naranja para ninguna de las regiones del plan Meteoalerta
Resolución de 29 de febrero de 2024, de la Agencia Estatal de Meteorología, por la que se publica el Convenio con la Universidad de Málaga, para la realización de prácticas académicas externas
Get PDFThe Southern Swell in the Canary Islands [Presentación]
No full textCon la colaboración de: J. Ernesto Barrera Rodríguez, Francisco J.
Bello Milán y Ángel Martínez Ferrer. Presentación realizada para las XXXVI Jornadas Científicas de la Asociación Meteorológica Española y 22º Encuentro Hispano-Luso de Meteorología celebrados en Cádiz, del 13 al 15 de marzo de 2024
LIME: Lunar Irradiance Model of ESA, a new tool for absolute radiometric calibration using the Moon
Get PDFAbsolute calibration of Earth observation (EO) sensors is key to ensuring long-term stability and interoperability, and it is essential for long-term global climate records and forecasts. The Moon provides a photometrically stable calibration source within the range of the Earth's radiometric levels and is free from atmospheric interference. However, to use this ideal calibration source, one must model the variation in its disc-integrated irradiance resulting from changes in Sun–Earth–Moon geometries. The Lunar Irradiance Model of the European Space Agency (LIME) is a new lunar irradiance model developed from ground-based observations acquired using a lunar radiometer operating from the Izaña Atmospheric Observatory near Mount Teide, located in Tenerife, Spain. Nightly top-of-atmosphere (TOA) irradiance is determined using the Langley plot method, and each observation is traceable to the international system of units (SI) through the radiometer calibration performed at the National Physical Laboratory (NPL). Approximately 590 lunar observations acquired between March 2018 and December 2022 currently contribute to the model parameter derivation, which builds on the widely used ROLO (Robotic Lunar Observatory) model analytical formulation. This paper presents the strategy used to derive LIME parameters: the characterisation of the lunar radiometer, the derivation of nightly top-of-atmosphere lunar irradiance and a description of the model parameter derivation, along with the associated metrologically rigorous uncertainty. The model output has been compared to PROBA-V, Pléiades and Sentinel-3B, as well as to the VITO implementation of the ROLO model. Initial results indicate that LIME predicts 3 %–5 % higher lunar-disc-integrated irradiance than the ROLO model for the visible and near-infrared channels. The model output has an expanded (k=2) radiometric uncertainty of ∼ 2 % at the lunar radiometer wavelengths, and it is expected that planned observations until at least 2024 further constrain the model parameters in subsequent updates.This research has been supported by the European Space Agency (contract no. 4000121576/17/NL/AF/hh) and the European Commission Research Infrastructure Action under ACTRIS-IMP (grant agreement no. 871115)
Characterizing the Atmospheric Mn Cycle and Its Impact on Terrestrial Biogeochemistry
Get PDFThe role of manganese (Mn) in ecosystem carbon (C) biogeochemical cycling is gaining increasing attention. While soil Mn is mainly derived from bedrock, atmospheric deposition could be a major source of Mn to surface soils, with implications for soil C cycling. However, quantification of the atmospheric Mn cycle, which comprises emissions from natural (desert dust, sea salts, volcanoes, primary biogenic particles, and wildfires) and anthropogenic sources (e.g., industrialization and land-use change due to agriculture), transport, and deposition, remains uncertain. Here, we use compiled emission data sets for each identified source to model and quantify the atmospheric Mn cycle by combining an atmospheric model and in situ atmospheric concentration measurements. We estimated global emissions of atmospheric Mn in aerosols (<10 μm in aerodynamic diameter) to be 1,400 Gg Mn year−1. Approximately 31% of the emissions come from anthropogenic sources. Deposition of the anthropogenic Mn shortened Mn “pseudo” turnover times in 1-m-thick surface soils (ranging from 1,000 to over 10,000,000 years) by 1–2 orders of magnitude in industrialized regions. Such anthropogenic Mn inputs boosted the Mn-to-N ratio of the atmospheric deposition in non-desert dominated regions (between 5 × 10−5 and 0.02) across industrialized areas, but that was still lower than soil Mn-to-N ratio by 1–3 orders of magnitude. Correlation analysis revealed a negative relationship between Mn deposition and topsoil C density across temperate and (sub)tropical forests, consisting with atmospheric Mn deposition enhancing carbon respiration as seen in in situ biogeochemical studies.NMM and LL would like to acknowledge the support of DOE Grant: DE-SC0021302. SR acknowledges the support of Grants AEROEXTREME PID2021-125669NB-I00, AEROATLAN CGL 2015-66299-P & POLLINDUST CGL2011-26259 funded by ERDF and the Research State Agency of Spain
