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1

Duics-Korosecz, Lilla, Helga Tóth, and Erzsébet Kristóf. "Az AROME modell adatasszimilációjának fejlesztése további SYNOP adatokkal." Légkör 70, no. 1 (2025): 34–41. https://doi.org/10.56474/legkor.2025.1.5.

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Az utóbbi egy-két évben jelentősen bővült a környező országok szinoptikus állomásairól származó SYNOP (surface synoptic observation) adatok elérhetősége, lehetővé téve ezek beépítését a hazai AROME (Applications of Research to Operations at Mesoscale) modell adatasszimilációs rendszerébe. A tanulmány áttekinti a bővítés eredményeit, amely során megállapítottuk, hogy az újonnan – kétoldalú megállapodások keretében – érkezett adatok ugyanúgy felhasználhatók az adatasszimiláció során, mint a GTS-en (Global Telecommunication System) keresztül elérhető adatok, mivel hasonló minőségűek. Továbbá, hog
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Milovidov, V. "To Origins of «Humanitarian Economy»." World Economy and International Relations, no. 7 (2013): 3–11. http://dx.doi.org/10.20542/0131-2227-2013-7-3-11.

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Problems of liberalism in business relationship were designated as early as in Ancient philosophy and culture. The author details the essence of Classical Greek philosophers and thinkers, Diogenes's of Synop and Hesiod's views of these subjects.
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Hintz, K. S., H. Vedel, E. Kaas, and N. W. Nielsen. "Estimation of Wind Speed and Roughness Length Using Smartphones: Method and Quality Assessment." Journal of Atmospheric and Oceanic Technology 37, no. 8 (2020): 1319–32. http://dx.doi.org/10.1175/jtech-d-19-0037.1.

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AbstractCrowdsourced data are now seen as a potential source of high-resolution observations in the atmospheric sciences. In this paper we investigate a potential data source, wind observations obtained using anemometers connected to handheld smartphones. The aim of this paper is twofold: to assess the quality of raw and height-extrapolated wind measurements from the handheld anemometer against professional-grade surface synoptic observation (SYNOP) stations, and to use these data of opportunity to infer a more accurate estimation of terrain roughness lengths. Roughness lengths are essential i
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Hynčica, Martin, and Radan Huth. "Long-term changes in precipitation phase in Czechia." Geografie 124, no. 1 (2019): 41–55. http://dx.doi.org/10.37040/geografie2019124010041.

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Long-term changes in precipitation phase are investigated at ten stations in Czechia. Trends are calculated from 1983 to 2018 for the period between November and April. Daily SYNOP reports and daily precipitation totals are used at every station, where number and occurrence of specific codes in SYNOP report determine daily precipitation totals as solid, combined (which represents, to a large extent, category of mixed precipitation), or liquid. Thereafter, it is possible to calculate trends of all precipitation phases as well as the proportion of solid to total precipitation (S/P; in %). The av
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Arbain, Ardhi Adhary. "KLIMATOLOGI BADAI PETIR DI WILAYAH JAKARTA DAN SEKITARNYA BERDASARKAN OBSERVASI SYNOP TAHUN 2000-2012." Jurnal Sains & Teknologi Modifikasi Cuaca 17, no. 1 (2016): 1. http://dx.doi.org/10.29122/jstmc.v17i1.1175.

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IntisariKlimatologi badai petir (TS) dianalisis dengan memanfaatkan pengamatan SYNOP per 3-jam dari 8 stasiun cuaca BMKG yang berada di wilayah Jakarta dan sekitarnya selama periode tahun 2000-2012. Frekuensi kejadian TS pada tiap lokasi dihitung berdasarkan perbandingan antara jumlah laporan TS pada data SYNOP dengan jumlah total observasi yang dilakukan oleh stasiun yang bersangkutan. Hasil pengolahan data menunjukkan bahwa TS memiliki dua pola klimatologi yang dominan dan paling sering terjadi pada periode sebelum dan sesudah musim hujan, terutama pada bulan November dan April. Hasil analis
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Kämäräinen, Matti, Otto Hyvärinen, Kirsti Jylhä, et al. "A method to estimate freezing rain climatology from ERA-Interim reanalysis over Europe." Natural Hazards and Earth System Sciences 17, no. 2 (2017): 243–59. http://dx.doi.org/10.5194/nhess-17-243-2017.

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Abstract. A method for estimating the occurrence of freezing rain (FZRA) in gridded atmospheric data sets was evaluated, calibrated against SYNOP weather station observations, and applied to the ERA-Interim reanalysis for climatological studies of the phenomenon. The algorithm, originally developed at the Finnish Meteorological Institute for detecting the precipitation type in numerical weather prediction, uses vertical profiles of relative humidity and temperature as input. Reanalysis data in 6 h time resolution were analysed over Europe for the period 1979–2014. Mean annual and monthly numbe
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Rohm, Witold, Jakub Guzikowski, Karina Wilgan, and Maciej Kryza. "4DVAR assimilation of GNSS zenith path delays and precipitable water into a numerical weather prediction model WRF." Atmospheric Measurement Techniques 12, no. 1 (2019): 345–61. http://dx.doi.org/10.5194/amt-12-345-2019.

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Abstract. The GNSS data assimilation is currently widely discussed in the literature with respect to the various applications for meteorology and numerical weather models. Data assimilation combines atmospheric measurements with knowledge of atmospheric behavior as codified in computer models. With this approach, the “best” estimate of current conditions consistent with both information sources is produced. Some approaches also allow assimilating the non-prognostic variables, including remote sensing data from radar or GNSS (global navigation satellite system). These techniques are named varia
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Sokol, Z., and J. Štekl. "Dreidimensionale mesoskalige objektive Analyse der ausgewählten Elemente aus den SYNOP und SYRED Meldungen." Meteorologische Zeitschrift 3, no. 4 (1994): 242–46. http://dx.doi.org/10.1127/metz/3/1994/242.

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9

Porter, David L., Ella B. Dobson, and Scott M. Glenn. "Measurements of dynamic topography during synop utilizing a Geosat synthetic geoid." Geophysical Research Letters 19, no. 18 (1992): 1847–50. http://dx.doi.org/10.1029/92gl01881.

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10

Lopez, Philippe. "Experimental 4D-Var Assimilation of SYNOP Rain Gauge Data at ECMWF." Monthly Weather Review 141, no. 5 (2013): 1527–44. http://dx.doi.org/10.1175/mwr-d-12-00024.1.

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Abstract Four-dimensional variational data assimilation (4D-Var) experiments with 6-hourly rain gauge accumulations observed at synoptic stations (SYNOP) around the globe have been run over several months, both at high resolution in an ECMWF operations-like framework and at lower resolution with the reference observational coverage reduced to surface pressure data only, as would be expected in early twentieth-century periods. The key aspects of the technical implementation of rain gauge data assimilation in 4D-Var are described, which include the specification of observation errors, bias corre
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Annane, Amina, Mouna Kamel, Cassia Trojahn, Nathalie Aussenac Gilles, Catherine Comparot, and Christophe Baehr. "Improving FAIRness of the SYNOP meteorological data set with semantic metadata." International Journal of Metadata, Semantics and Ontologies 16, no. 2 (2023): 118–37. http://dx.doi.org/10.1504/ijmso.2023.135332.

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Baehr, Christophe, Catherine Comparot, Nathalie Aussenac Gilles, Amina Annane, Mouna Kamel, and Cassia Trojahn. "Improving FAIRness of the SYNOP meteorological data set with semantic metadata." International Journal of Metadata, Semantics and Ontologies 16, no. 2 (2023): 118–37. http://dx.doi.org/10.1504/ijmso.2023.10060807.

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Laird, Neil, Ryan Sobash, and Natasha Hodas. "Climatological Conditions of Lake-Effect Precipitation Events Associated with the New York State Finger Lakes." Journal of Applied Meteorology and Climatology 49, no. 5 (2010): 1052–62. http://dx.doi.org/10.1175/2010jamc2312.1.

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Abstract A climatological analysis was conducted of the environmental and atmospheric conditions that occurred during 125 identified lake-effect (LE) precipitation events in the New York State Finger Lakes region for the 11 winters (October–March) from 1995/96 through 2005/06. The results complement findings from an earlier study reporting on the frequency and temporal characteristics of Finger Lakes LE events that occurred as 1) isolated precipitation bands over and downwind of a lake (NYSFL events), 2) an enhancement of LE precipitation originating from Lake Ontario (LOenh events), 3) an LE
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14

Bari, Driss. "A Preliminary Impact Study of Wind on Assimilation and Forecast Systems into the One-Dimensional Fog Forecasting Model COBEL-ISBA over Morocco." Atmosphere 10, no. 10 (2019): 615. http://dx.doi.org/10.3390/atmos10100615.

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The assimilation impact of wind data from aircraft measurements (AMDAR), surface synoptic observations (SYNOP) and 3D numerical weather prediction (NWP) mesoscale model, on short-range numerical weather forecasting (up to 12 h) and on the assimilation system, using the one-dimensional fog forecasting model COBEL-ISBA (Code de Brouillard à l’Échelle Locale-Interactions Soil Biosphere Atmosphere), is studied in the present work. The wind data are extracted at Nouasseur airport, Casablanca, Morocco, over a winter period from the national meteorological database. It is the first time that wind pro
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Bédard, Joël, Stéphane Laroche, and Pierre Gauthier. "Near-Surface Wind Observation Impact on Forecasts: Temporal Propagation of the Analysis Increment." Monthly Weather Review 145, no. 4 (2017): 1549–64. http://dx.doi.org/10.1175/mwr-d-16-0310.1.

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Abstract This study examines the assimilation of near-surface wind observations over land to improve wind nowcasting and short-term tropospheric forecasts. A new geostatistical operator based on geophysical model output statistics (GMOS) is compared with a bilinear interpolation scheme (Bilin). The multivariate impact on forecasts and the temporal evolution of the analysis increments produced are examined as well as the influence of background error covariances on different components of the prediction system. Results show that Bilin significantly degrades surface and upper-air fields when ass
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Kirschenstein, Małgorzata, and Kamil Krasuski. "Integration the Meteorological Data for Monitoring the Troposphere Condition Over the Military Aerodrome in Dęblin." Journal of KONBiN 49, no. 3 (2019): 115–35. http://dx.doi.org/10.2478/jok-2019-0053.

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Abstract The integration of meteorological and tropospheric data is extremely important in precise monitoring of the atmosphere condition over a selected aerodrome. The paper presents the results of troposphere monitoring over the military aerodrome EPDE in Dęblin in Lubelskie Voivodeship in Poland. The three sources of meteorological data were applied for troposphere monitoring, namely: GNSS satellite technique, SYNOP data, TAF data. The troposphere empirical models within the GNSS satellite technique were utilized in the designation of the meteorological parameters, e. g. temperature, pressu
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Das, Razat Suvra, Sayedur Rahman Chowdhury, Milan Kumar Shiuli, and Shubha Sarker. "WEATHER PERTURBATIONS ASSOCIATED WITH THE TRANSIT OF TROPICAL CYCLONES IN THE COAST OF BANGLADESH." Earth Science Malaysia 4, no. 1 (2020): 23–27. http://dx.doi.org/10.26480/esmy.01.2020.23.37.

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During the transition of tropical cyclone in the coast of Bangladesh, it is normally observed that there is a noticeable perturbation of weather parameters around the cyclone landfall zone. Through this research the extent of perturbation is assessed. To make the inventory 4 recent cyclones were selected that had made landfall in Bangladesh coast. They are cyclone MORA, cyclone ROANU, cyclone KOMEN and cyclone MAHASEN. Weather parameters selected to check their perturbation are wind speed, temperature, dew point temperature, atmospheric pressure, relative humidity and precipitation. The disper
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Bendix, Jörg, Boris Thies, Jan Cermak, and Thomas Nauß. "Ground Fog Detection from Space Based on MODIS Daytime Data—A Feasibility Study." Weather and Forecasting 20, no. 6 (2005): 989–1005. http://dx.doi.org/10.1175/waf886.1.

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Abstract The distinction made by satellite data between ground fog and low stratus is still an open problem. A proper detection scheme would need to make a determination between low stratus thickness and top height. Based on this information, stratus base height can be computed and compared with terrain height at a specific picture element. In the current paper, a procedure for making the distinction between ground fog and low-level stratus is proposed based on Moderate Resolution Imaging Spectroradiometer (MODIS, flying on board the NASA Terra and Aqua satellites) daytime data for Germany. St
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Dybbroe, Adam, Karl-Göran Karlsson, and Anke Thoss. "NWCSAF AVHRR Cloud Detection and Analysis Using Dynamic Thresholds and Radiative Transfer Modeling. Part II: Tuning and Validation." Journal of Applied Meteorology 44, no. 1 (2005): 55–71. http://dx.doi.org/10.1175/jam-2189.1.

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Abstract Algorithms for cloud detection (cloud mask) and classification (cloud type) at high and midlatitudes using data from the Advanced Very High Resolution Radiometer (AVHRR) on board the current NOAA satellites and future polar Meteorological and Operational Weather Satellites (METOP) of the European Organisation for the Exploitation of Meteorological Satellites have been extensively validated over northern Europe and the adjacent seas. The algorithms have been described in detail in Part I and are based on a multispectral grouped threshold approach, making use of cloud-free radiative tra
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Akbayeva, L. Kh, E. M. Pangaliyaev, E. Atasoy, N. S. Mamytova, and N. K. Kobetayeva. "Dynamics of changes in air temperature and precipitation in the Karaganda region." BULLETIN of the L.N. Gumilyov Eurasian National University. BIOSCIENCE Series 141, no. 4 (2022): 77–88. http://dx.doi.org/10.32523/2616-7034-2022-141-4-77-88.

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The article examines the long-term variability of a number of meteorological parameters in the Karaganda region. It analyzes reliable data from the site "Climate and Weather" of the international databases SYNOP and METAR. The average annual air temperature and precipitation for 1940-2020 were studied using the linear trend method. The results showed that the climate of the Karaganda region changed significantly between 1940-2020, both in temperature and precipitation. Over 80 years, the average annual temperature has increased by 1.1 ° C, which is high for the short term. Due to the warming o
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Lestanto, Ardi Widi, and Jaka Anugrah Ivanda Paski. "UJI PERFORMA WRF DENGAN DATA ASIMILASI RADAR, SATELIT DAN SYNOP UNTUK PREDIKSI HUJAN DI JAKARTA." Jurnal Sains & Teknologi Modifikasi Cuaca 19, no. 1 (2018): 1. http://dx.doi.org/10.29122/jstmc.v19i1.2818.

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Asimilasi data merupakan suatu metode estimasi yang diperoleh dari penggabungan antara output model NWP dan data-data pengukuran. Dalam beberapa tahun terakhir, model mesoscale resolusi tinggi diinisialisasi dengan menggunakan teknik data asimilasi (3DVAR/4DVAR) yang diterapkan untuk mempelajari fenomena meteorologi. Penelitian ini dilakukan di wilayah Jakarta dengan memanfaatkan data observasi sinoptik, data radiance satelit dan data radar Doppler C-Band EEC (Enterprise Electronics Corporation) di Jakarta. Penelitian ini menggunakan model numerik Weather Research and Forecasting (WRF) untuk m
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Kirschenstein, Małgorzata, and Kamil Krasuski. "Designation of the Troposphere Radio Refractivity for the Area of the Military Aerodrome in Dęblin." Journal of KONBiN 49, no. 3 (2019): 137–58. http://dx.doi.org/10.2478/jok-2019-0054.

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Abstract The radio refractivity is one of major parameters in troposphere monitoring over a selected military aerodrome. The paper makes an in-depth analysis and description of the results of radio refractivity of the troposphere zone. The radio refractivity of the troposphere zone was estimated for the area of the military aerodrome EPDE in Dęblin, Poland. The radio refractivity of the troposphere zone was calculated using empirical troposphere models for the GNSS satellite technique as well as real meteorological data from the SYNOP message. In the paper, the authors demonstrate the results
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HATWAR, H. R., Y. V. RAMA RAO, S. K. ROY BHOWMIK, D. JOARDAR, and GEETA AGNIHOTRI. "An impact of ARMEX data on limited area model analysis and forecast system of India Meteorological Department - A preliminary study." MAUSAM 56, no. 1 (2022): 131–38. http://dx.doi.org/10.54302/mausam.v56i1.870.

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During the Arabian Sea Monsoon Experiment (ARMEX) period India Meteorological Department (IMD) forecast products along with other products are utilised for day-to-day monitoring and providing the guidance to the field scientists engaged in the collection of meteorological and oceanographic data. In the present study, the operational analysis and forecast products of limited area forecast system for some of the major synoptic systems that occurred during the ARMEX period was investigated. Further, using the additional data available from ARMEX Phase-II namely SYNOP, upper air and also satellite
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Werkmeister, A., M. Lockhoff, M. Schrempf, K. Tohsing, B. Liley, and G. Seckmeyer. "Comparing satellite- to ground-based automated and manual cloud coverage observations – a case study." Atmospheric Measurement Techniques 8, no. 5 (2015): 2001–15. http://dx.doi.org/10.5194/amt-8-2001-2015.

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Abstract. In this case study we compare cloud fractional cover measured by radiometers on polar satellites (AVHRR) and on one geostationary satellite (SEVIRI) to ground-based manual (SYNOP) and automated observations by a cloud camera (Hemispherical Sky Imager, HSI). These observations took place in Hannover, Germany, and in Lauder, New Zealand, over time frames of 3 and 2 months, respectively. Daily mean comparisons between satellite derivations and the ground-based HSI found the deviation to be 6 ± 14% for AVHRR and 8 ± 16% for SEVIRI, which can be considered satisfactory. AVHRR's instantane
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Balsamo, G., J.-F. Mahfouf, S. Bélair, and G. Deblonde. "A Land Data Assimilation System for Soil Moisture and Temperature: An Information Content Study." Journal of Hydrometeorology 8, no. 6 (2007): 1225–42. http://dx.doi.org/10.1175/2007jhm819.1.

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Abstract A Canadian Land Data Assimilation System (CaLDAS) for the analysis of land surface prognostic variables is designed and implemented at the Meteorological Service of Canada for the initialization of numerical weather prediction and climate models. The assimilation of different data sources for the production of daily soil moisture and temperature analyses is investigated in a set of observing system simulation experiments over North America. A simplified variational technique is adapted to accommodate different observation types at their appropriate time in a 24-h time window. The scre
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Laird, Neil F., Jared Desrochers, and Melissa Payer. "Climatology of Lake-Effect Precipitation Events over Lake Champlain." Journal of Applied Meteorology and Climatology 48, no. 2 (2009): 232–50. http://dx.doi.org/10.1175/2008jamc1923.1.

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Abstract This study provides the first long-term climatological analysis of lake-effect precipitation events that developed in relation to a small lake (having a surface area of ≤1500 km2). The frequency and environmental conditions favorable for Lake Champlain lake-effect precipitation were examined for the nine winters (October–March) from 1997/98 through 2005/06. Weather Surveillance Radar-1988 Doppler (WSR-88D) data from Burlington, Vermont, were used to identify 67 lake-effect events. Events occurred as 1) well-defined, isolated lake-effect bands over and downwind of the lake, independent
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Al Fasih, Faisal, and Khairrun Nisa. "Sistem Informasi Logbook Berbasis Web Pada Stasiun Geofisika Kelas I Deli Serdang." Jurnal Nasional Teknologi Komputer 3, no. 4 (2023): 314–25. http://dx.doi.org/10.61306/jnastek.v3i4.117.

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In today's digital era, the use of information technology is very important to increase efficiency and convenience in various fields, including logbooks. The purpose of this article is to design a web-based logbook information system at the Class I Geophysical Station Deli Serdang which will facilitate employees in filling in the Synop logbook and Absolute Observation. The method used in this study is the waterfall development method which consists of five stages, namely need identification, system design, preparation of program code, program testing, and program implementation. Further during
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Doutreloup, Sébastien, Coraline Wyard, Charles Amory, Christoph Kittel, Michel Erpicum, and Xavier Fettweis. "Sensitivity to Convective Schemes on Precipitation Simulated by the Regional Climate Model MAR over Belgium (1987–2017)." Atmosphere 10, no. 1 (2019): 34. http://dx.doi.org/10.3390/atmos10010034.

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The aim of this study is to assess the sensitivity of convective precipitation modelled by the regional climate model MAR (Modèle Atmosphérique Régional) over 1987–2017 to four newly implemented convective schemes: the Bechtold scheme coming from the MESO-NH regional model and the Betts-Miller-Janjić, Kain-Fritsch and modified Tiedtke schemes coming from the WRF regional model. MAR version 3.9 is used here at a resolution of 10 km over a domain covering Belgium using the ERA-Interim reanalysis as forcing. The simulated precipitation is compared against SYNOP and E-OBS gridded precipitation dat
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Zumstein, Jean. "Der Prozess Der Relecture in Der Johanneischen Literatur." New Testament Studies 42, no. 3 (1996): 394–411. http://dx.doi.org/10.1017/s0028688500020853.

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Die gegenwärtige Exegese nimmt mehrheitlich an, dass die johan-neische Literatur in ihrer kanonischen Form (Joh, 1 Joh, 2 Joh, 3 Joh) das Resultat eines langen Prozesses der Ausgestaltung darstellt, der sich im wesentlichen der Tatigkeit einer Schule verdankt. Diese Annahme wirft zwei Fragen auf: Wie hat die johanneische Schule die Traditionen, deren Verwalterin sie war, aufgenommen und weitergegeben? Und welcher hermeneutischer Verfahren hat sie sich bedient, um die verschiedenen Ausformun-gen dieser Traditionen zu interpretieren und zu aktualisieren? Im Sinne einer Arbeitshypothese schlagen
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MAULANA, MUHAMMAD IKO SAFRILDA, ERISKA FEBRIATI, and ADITYA MULYA. "ANALISIS KONDISI CUACA SAAT KEJADIAN BANJIR DI KABUPATEN KENDAL MENGGUNAKAN SYNOP, METAR, DAN DATA MODEL GS HIMAWARI-8 (STUDI KASUS: 26-27 JANUARI 2019)." Jurnal Material dan Energi Indonesia 10, no. 01 (2021): 63. http://dx.doi.org/10.24198/jmei.v10i01.31573.

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Pada tanggal 26-27 Januari 2019, telah terjadi fenomena hujan lebat di Kabupaten Kendal. Hujan terjadi sejak pukul 11.55 UTC atau pukul 18.55 WIB dengan puncak hujan lebatnya terjadi mulai pukul 18.05 UTC atau pukul 01.05 WIB. Fenomena hujan lebat tersebut menyebabkan 25 desa di Kabupaten Kendal terendam banjir terutama di wilayah utara Kendal. Penelitian ini dilakukan untuk meninjau kondisi parameter cuaca saat kejadian tersebut. Analisis dari kejadian ini menggunakan data pengamatan synop, METAR, data pemodelan cuaca NWP GS, dan data citra satelit cuaca Himawari-8 yang diolah dengan software
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Jafariserajehlou, Soheila, Linlu Mei, Marco Vountas, Vladimir Rozanov, John P. Burrows, and Rainer Hollmann. "A cloud identification algorithm over the Arctic for use with AATSR–SLSTR measurements." Atmospheric Measurement Techniques 12, no. 2 (2019): 1059–76. http://dx.doi.org/10.5194/amt-12-1059-2019.

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Abstract. The accurate identification of the presence of cloud in the ground scenes observed by remote-sensing satellites is an end in itself. The lack of knowledge of cloud at high latitudes increases the error and uncertainty in the evaluation and assessment of the changing impact of aerosol and cloud in a warming climate. A prerequisite for the accurate retrieval of aerosol optical thickness (AOT) is the knowledge of the presence of cloud in a ground scene. In our study, observations of the upwelling radiance in the visible (VIS), near infrared (NIR), shortwave infrared (SWIR) and the therm
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Przeździecki, Karol, and Jarosław Zawadzki. "Modification of the Land Surface Temperature – Vegetation Index Triangle Method for soil moisture condition estimation by using SYNOP reports." Ecological Indicators 119 (December 2020): 106823. http://dx.doi.org/10.1016/j.ecolind.2020.106823.

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Er-Rondi, Mariam, Magali Troin, Sylvain Coly, Emmanuel Buisson, Laurent Serlet, and Nourddine Azzaoui. "Evaluation of Five Reanalysis Products over France: Implications for Agro-Climatic Studies." Applied Sciences 14, no. 3 (2024): 1204. http://dx.doi.org/10.3390/app14031204.

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Agro-climatic indicators (AgcIs) provide a suitable tool to evaluate the implications of climate change on agriculture by simplifying plant–climate interactions. However, developing reliable AgcIs requires high-quality historical climate datasets. Consequently, reanalysis products (RPs) are frequently used as a potential reference dataset for observed climate in agricultural studies. This study aims to compare five RPs (ERA5, ERA5-Land, SCOPE Climate, FYRE Climate, and RFHR) at reproducing observed AgcIs over France. The RPs are evaluated against the SYNOP meteorological data over the 1996–201
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Bousri, Islam, Abdelhadi Sabba, and sara chikhi. "Application du SPC pour le contrôle des METAR." JAMA 4 (June 5, 2020): 17–20. https://doi.org/10.5281/zenodo.10939524.

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La Maîtrise statistique des procédés, ou le SPC est une application qui utilise des techniques statistiques pour contrôler un procédé ou une méthode de production. Les principaux outils et procédures utilisés peuvent nous aider à surveiller le comportement des processus, à découvrir les problèmes dans les systèmes internes et à trouver des solutions aux problèmes de production. Le présent travail représente une adaptation de cette technique pour contrôler la qualit&
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IRNAWATI, IRNAWATI, Muzakkir Pangri, Nur Hidaya, Ibnu Subrata Ajid, Niny J. Maipauw, and Ismail Sangadji. "PENGENALAN INSTRUMEN MANUAL DAN DIGITAL UNTUK MENDUKUNG LAYANAN PRAKIRAAN CUACA DI TAMAN ALAT BMKG WILAYAH I DEO SORONG." Abdimas: Papua Journal of Community Service 7, no. 2 (2025): 105–17. https://doi.org/10.33506/pjcs.v7i2.4633.

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Kegiatan Pengabdian dan Mahasiswa Program Studi Kehutanan Universitas Muhammadiyah Sorong ini dilaksanakan di Kantor BMKG Kelas I DEO Kota Sorong dengan tujuan untuk memperkenalkan berbagai alat pengamatan cuaca yang digunakan dalam mendukung layanan informasi meteorologi. Hasil kegiatan menunjukkan bahwa terdapat dua jenis alat utama yang digunakan, yaitu alat manual dan alat digital. Alat manual meliputi Sangkar Meteorologi (Stevenson Screen), Penakar Hujan Manual (Ombrometer), Campbell Stokes Sunshine Recorder, Cup Counter Anemometer, dan Panci Penguapan (Evaporimeter), yang masing-masing b
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Kotarba, Andrzej Z. "Inconsistency of surface-based (SYNOP) and satellite-based (MODIS) cloud amount estimations due to the interpretation of cloud detection results." International Journal of Climatology 37, no. 11 (2017): 4092–104. http://dx.doi.org/10.1002/joc.5011.

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Kunz, M. "The skill of convective parameters and indices to predict isolated and severe thunderstorms." Natural Hazards and Earth System Sciences 7, no. 2 (2007): 327–42. http://dx.doi.org/10.5194/nhess-7-327-2007.

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Abstract. The preconvective environment on days with ordinary, widespread, and severe thunderstorms in Southwest Germany was investigated. Various thermodynamic and kinetic parameters calculated from radiosoundings at 12:00 UTC were verified against subsequent thunderstorm observations derived from SYNOP station data, radar data, and damage reports of a building insurance company. The skill of the convective parameters and indices to predict thunderstorms was evaluated by means of probability distribution functions, probabilities of thunderstorms according to an index threshold, and skill scor
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Middleton, Nick, Saviz Sehat Kashani, Sara Attarchi, Mehdi Rahnama, and Sahar Tajbakhsh Mosalman. "Synoptic Causes and Socio-Economic Consequences of a Severe Dust Storm in the Middle East." Atmosphere 12, no. 11 (2021): 1435. http://dx.doi.org/10.3390/atmos12111435.

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Dust storms represent one of the most severe, if underrated, natural hazards in drylands. This study uses ground observational data from meteorological stations and airports (SYNOP and METARs), satellite observations (MODIS level-3 gridded atmosphere daily products and CALIPSO) and reanalysis data (ERA5) to analyze the synoptic meteorology of a severe Middle Eastern dust storm in April 2015. Details of related socio-economic impacts, gathered largely from news media reports, are also documented. This dust storm affected at least 14 countries in an area of 10 million km2. The considerable impac
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Zhang, Xiaoyan, Hongli Wang, Xiang-Yu Huang, Feng Gao, and Neil A. Jacobs. "Using Adjoint-Based Forecast Sensitivity Method to Evaluate TAMDAR Data Impacts on Regional Forecasts." Advances in Meteorology 2015 (2015): 1–13. http://dx.doi.org/10.1155/2015/427616.

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This study evaluates the impact of Tropospheric Airborne Meteorological Data Reporting (TAMDAR) observations on regional 24-hour forecast error reduction over the Continental United States (CONUS) domain using adjoint-based forecast sensitivity to observation (FSO) method as the diagnostic tool. The relative impact of TAMDAR observations on reducing the forecast error was assessed by conducting the WRFDA FSO experiments for two two-week-long periods, one in January and one in June 2010. These experiments assimilated operational TAMDAR data and other conventional observations, as well as GPS re
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Tiriolo, Luca, Rosa Claudia Torcasio, Stefania Montesanti, and Stefano Federico. "Verification of a Real Time Weather Forecasting System in Southern Italy." Advances in Meteorology 2015 (2015): 1–14. http://dx.doi.org/10.1155/2015/758250.

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This paper shows the performance of an operational forecasting system, based on the regional atmospheric modeling system (RAMS), at 3 km horizontal resolution over southern Italy. The model is initialized from the 12 UTC operational analysis/forecasting cycle of the European Centre for Medium range Weather Forecasts (ECMWF). The forecast is issued for the following three days. The performance is evaluated for a whole year for the surface parameters: temperature, relative humidity, wind speed and direction, and precipitation. The verification has been performed against SYNOP stations over south
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Calmanti, S., A. Dell’Aquila, F. Maimone, and V. Pelino. "Evaluation of climate patterns in a regional climate model over Italy using long-term records from SYNOP weather stations and cluster analysis." Climate Research 62, no. 3 (2015): 173–88. http://dx.doi.org/10.3354/cr01256.

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Perler, Donat, and Oliver Marchand. "A Study in Weather Model Output Postprocessing: Using the Boosting Method for Thunderstorm Detection." Weather and Forecasting 24, no. 1 (2009): 211–22. http://dx.doi.org/10.1175/2008waf2007047.1.

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Abstract In this work, a new approach to weather model output postprocessing is presented. The adaptive boosting algorithm is used to train a set of simple base classifiers with historical data from weather model output, surface synoptic observation (SYNOP) messages, and lightning data. The resulting overall method then can be used to classify weather model output to identify potential thunderstorms. The method generates a certainty measure between −1 and 1, describing how likely a thunderstorm is to occur. Using a threshold, the measure can be converted to a binary decision. When compared to
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Cowie, S. M., P. Knippertz, and J. H. Marsham. "A climatology of dust emission events from northern Africa using long-term surface observations." Atmospheric Chemistry and Physics Discussions 14, no. 6 (2014): 7425–68. http://dx.doi.org/10.5194/acpd-14-7425-2014.

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Abstract. Long-term (1984–2012) surface observations from 70 stations in the Sahara and Sahel are used to explore the diurnal, seasonal and geographical variations in dust emission events and thresholds. The frequency of dust emission (FDE) is calculated using the present weather codes of SYNOP reports. Thresholds are estimated as the wind speed for which there is a 50% probability of dust emission and are then used to calculate strong wind frequency (SWF) and dust uplift potential (DUP), where the latter is an estimate of the dust-generating power of winds. Stations are grouped into six coher
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Cowie, S. M., P. Knippertz, and J. H. Marsham. "A climatology of dust emission events from northern Africa using long-term surface observations." Atmospheric Chemistry and Physics 14, no. 16 (2014): 8579–97. http://dx.doi.org/10.5194/acp-14-8579-2014.

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Abstract. Long-term (1984–2012) surface observations from 70 stations in the Sahara and Sahel are used to explore the diurnal, seasonal and geographical variations in dust emission events and thresholds. The frequency of dust emission (FDE) is calculated using the present weather codes of SYNOP reports. Thresholds are estimated as the wind speed for which there is a 50% probability of dust emission and are then used to calculate strong wind frequency (SWF) and dust uplift potential (DUP), where the latter is an estimate of the dust-generating power of winds. Stations are grouped into six coher
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Bremnes, John Bjørnar, Thomas N. Nipen, and Ivar A. Seierstad. "Evaluation of forecasts by a global data-driven weather model with and without probabilistic post-processing at Norwegian stations." Nonlinear Processes in Geophysics 31, no. 2 (2024): 247–57. http://dx.doi.org/10.5194/npg-31-247-2024.

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Abstract. During the last 2 years, tremendous progress has been made in global data-driven weather models trained on numerical weather prediction (NWP) reanalysis data. The most recent models trained on the ERA5 reanalysis at 0.25° resolution demonstrate forecast quality on par with ECMWF's high-resolution model with respect to a wide selection of verification metrics. In this study, one of these models, Pangu-Weather, is compared to several NWP models with and without probabilistic post-processing for 2 m temperature and 10 m wind speed forecasting at 183 Norwegian SYNOP (surface synoptic obs
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Meinen, Christopher S. "Accuracy in Mooring Motion Temperature Corrections." Journal of Atmospheric and Oceanic Technology 25, no. 12 (2008): 2293–303. http://dx.doi.org/10.1175/2008jtecho555.1.

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Abstract Moored temperature sensors, whether fixed or profiling, routinely need to be corrected to remove the signals associated with the vertical motion of the sensors when the moorings “blow over” in strong flow events (for profiling sensors the problems occur only at the upper end of the profiling range). Hydrographic data are used to estimate the accuracy with which moored temperature sensors in the Gulf Stream can be corrected for mooring motion aliasing using standard correction techniques, and the implications for other ocean regions are discussed. Comparison with hydrographic data and
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van der Plas, Emiel, Maurice Schmeits, Nicolien Hooijman, and Kees Kok. "A Comparative Verification of High-Resolution Precipitation Forecasts Using Model Output Statistics." Monthly Weather Review 145, no. 10 (2017): 4037–54. http://dx.doi.org/10.1175/mwr-d-16-0256.1.

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Verification of localized events such as precipitation has become even more challenging with the advent of high-resolution mesoscale numerical weather prediction (NWP). The realism of a forecast suggests that it should compare well against precipitation radar imagery with similar resolution, both spatially and temporally. Spatial verification methods solve some of the representativity issues that point verification gives rise to. In this paper, a verification strategy based on model output statistics (MOS) is applied that aims to address both double-penalty and resolution effects that are inhe
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Giunta, G., R. Salerno, A. Ceppi, G. Ercolani, and M. Mancini. "Effects of Model Horizontal Grid Resolution on Short- and Medium-Term Daily Temperature Forecasts for Energy Consumption Application in European Cities." Advances in Meteorology 2019 (May 8, 2019): 1–12. http://dx.doi.org/10.1155/2019/1561697.

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A short-term forecast of energy consumption is affected by different factors related to the demand in residential, commercial, thermoelectric, and industrial sectors. This demand can be strongly constrained by weather variables, especially temperatures, whose forecast may be very useful to predict the balances between supply and demand, minimizing the risk of price volatility. Energy companies use the relationship between meteorological forecast output and energy request to provide an effective scheduling of national gas and power grids and reduce operational costs in critical periods. This wo
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Baldridge, W. Scott, Gregory L. Cole, Bruce A. Robinson, and George R. Jiracek. "Application of time-domain airborne electromagnetic induction to hydrogeologic investigations on the Pajarito Plateau, New Mexico, USA." GEOPHYSICS 72, no. 2 (2007): B31—B45. http://dx.doi.org/10.1190/1.2437701.

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We conducted a time-domain airborne electromagnetic (AEM) survey of part of the semiarid Pajarito Plateau of northern New Mexico to determine depths and lateral extent of perched aquifers in the vadose zone and depths and pathways of infiltration to the regional aquifer. The electrical resistivity of the plateau ranged over three orders of magnitude ([Formula: see text] to [Formula: see text]) to a depth of at least [Formula: see text]. Borehole and surface-derived data allow the correlation of resistivity images with the hydrogeology of the plateau. As expected, water exerts a significant con
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Jung, Byoung-Joo, Hyun Mee Kim, Thomas Auligné, Xin Zhang, Xiaoyan Zhang, and Xiang-Yu Huang. "Adjoint-Derived Observation Impact Using WRF in the Western North Pacific." Monthly Weather Review 141, no. 11 (2013): 4080–97. http://dx.doi.org/10.1175/mwr-d-12-00197.1.

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Abstract An increasing number of observations have contributed to the performance of numerical weather prediction systems. Accordingly, it is important to evaluate the impact of these observations on forecast accuracy. While the observing system experiment (OSE) requires considerable computational resources, the adjoint-derived method can evaluate the impact of all observational components at a lower cost. In this study, the effect of observations on forecasts is evaluated by the adjoint-derived method using the Weather Research and Forecasting Model, its adjoint model, and a corresponding thr
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