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Journal articles on the topic 'Multiannual dataset'

Author: Grafiati

Published: 13 April 2024

Last updated: 31 July 2025

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1

Rust, William, John P. Bloomfield, Mark Cuthbert, Ron Corstanje, and Ian Holman. "The importance of non-stationary multiannual periodicities in the North Atlantic Oscillation index for forecasting water resource drought." Hydrology and Earth System Sciences 26, no. 9 (2022): 2449–67. http://dx.doi.org/10.5194/hess-26-2449-2022.

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Abstract. Drought forecasting and early warning systems for water resource extremes are increasingly important tools in water resource management in Europe where increased population density and climate change are expected to place greater pressures on water supply. In this context, the North Atlantic Oscillation (NAO) is often used to indicate future water resource behaviours (including droughts) over Europe, given its dominant control on winter rainfall totals in the North Atlantic region. Recent hydroclimate research has focused on the role of multiannual periodicities in the NAO in driving

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Guðmundsson, Kristinn, Mike R. Heath, and Elizabeth D. Clarke. "Average seasonal changes in chlorophyll a in Icelandic waters." ICES Journal of Marine Science 66, no. 10 (2009): 2133–40. http://dx.doi.org/10.1093/icesjms/fsp208.

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Abstract Guðmundsson, K., Heath, M. R., and Clarke, E. D. 2009. Average seasonal changes in chlorophyll a in Icelandic waters. – ICES Journal of Marine Science, 66: 2133–2140. The standard algorithms used to derive sea surface chlorophyll a concentration from remotely sensed ocean colour data are based almost entirely on the measurements of surface water samples collected in open sea (case 1) waters which cover ∼60% of the worlds oceans, where strong correlations between reflectance and chlorophyll concentration have been found. However, satellite chlorophyll data for waters outside the define

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Saviano, Simona, Anastasia Angela Biancardi, Marco Uttieri, et al. "Sea Storm Analysis: Evaluation of Multiannual Wave Parameters Retrieved from HF Radar and Wave Model." Remote Sensing 14, no. 7 (2022): 1696. http://dx.doi.org/10.3390/rs14071696.

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Intense atmospheric disturbances, which impact directly on the sea surface causing a significant increase in wave height and sometimes strong storm surges, have become increasingly frequent in recent years in the Mediterranean Sea, producing extreme concern in highly populated coastal areas, such as the Gulf of Naples (Western Mediterranean Sea, Central Tyrrhenian Sea). In this work, fifty-six months of wave parameters retrieved by an HF radar network are integrated with numerical outputs to analyze the seasonality of extreme events in the study area and to investigate the performance of HF ra

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Saviano, Simona, Anastasia Angela Biancardi, Florian Kokoszka, et al. "HF Radar Wind Direction: Multiannual Analysis Using Model and HF Network." Remote Sensing 15, no. 12 (2023): 2991. http://dx.doi.org/10.3390/rs15122991.

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HF radar systems have the potential to measure the wind direction, in addition to surface currents and wave fields. However, studies on HF radar for wind direction determination are rare in the scientific literature. Starting with the results presented in Saviano et al. (2021), we here expand on the reliability of the multiannual wind direction data retrieved over two periods, from May 2008 to December 2010 and from January to December 2012, by a network of three SeaSonde high-frequency (HF) radars operating in the Gulf of Naples (Central Tyrrhenian Sea, Western Mediterranean Sea). This study

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Pommier, C., C. Michotey, G. Cornut, et al. "Applying FAIR Principles to Plant Phenotypic Data Management in GnpIS." Plant Phenomics 2019 (April 30, 2019): 1–15. http://dx.doi.org/10.34133/2019/1671403.

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GnpIS is a data repository for plant phenomics that stores whole field and greenhouse experimental data including environment measures. It allows long-term access to datasets following the FAIR principles: Findable, Accessible, Interoperable, and Reusable, by using a flexible and original approach. It is based on a generic and ontology driven data model and an innovative software architecture that uncouples data integration, storage, and querying. It takes advantage of international standards including the Crop Ontology, MIAPPE, and the Breeding API. GnpIS allows handling data for a wide range

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Wu, Tonghua, Changwei Xie, Xiaofan Zhu, et al. "Permafrost, active layer, and meteorological data (2010–2020) at the Mahan Mountain relict permafrost site of northeastern Qinghai–Tibet Plateau." Earth System Science Data 14, no. 3 (2022): 1257–69. http://dx.doi.org/10.5194/essd-14-1257-2022.

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Abstract. Relict permafrost presents an ideal opportunity to understand the impacts of climatic warming on the ground thermal regime since it is characterized by a mean annual ground temperature close to 0 ∘C and relatively thin permafrost. The long-term and continuous observations of permafrost thermal state and climate background are of great importance to reveal the links between the energy balance on hourly to annual timescales, to evaluate the variations in permafrost thermal state over multiannual periods and to validate the remote sensing dataset. We present 11 years of meteorological a

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Kärenlampi, Petri P. "Disturbance effects on timberland returns." PLOS Sustainability and Transformation 3, no. 12 (2024): e0000146. https://doi.org/10.1371/journal.pstr.0000146.

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Probability theory is applied to the effect of severe disturbances on the return rate on capital within multiannual stands growing crops. Two management regimes are discussed, rotations of even-aged plants on the one hand, and uneven-aged semi-stationary state on the other. The effect of any disturbance appears two-fold, contributing to both earnings and capitalization. Results are illustrated using data from a recently published study, regarding spruce (Picea abies) forests in Austria. The economic results differ from those of the paper where the data is presented, here indicating continuous-

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Shahi, Sonika, Jakob Abermann, Georg Heinrich, Rainer Prinz, and Wolfgang Schöner. "Regional Variability and Trends of Temperature Inversions in Greenland." Journal of Climate 33, no. 21 (2020): 9391–407. http://dx.doi.org/10.1175/jcli-d-19-0962.1.

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AbstractStrong and thick temperature inversions are key components of the Arctic climate system and it is important to study and better understand them. The present study quantifies the temporal and spatial variability of surface-based inversions (SBIs) and elevated inversions (EIs) over Greenland, as derived from the ERA-Interim (ERA-I) dataset for the period 1979–2017. The seasonal and multiannual variability of inversion strength, thickness, and frequency are examined. Our results clearly show regional as well as seasonal patterns of both SBIs and EIs. SBIs are more frequent and stronger th

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DIMITROV, B. D., and E. S. BABAYEV. "Cyclic variations in the dynamics of flu incidence in Azerbaijan, 1976–2000." Epidemiology and Infection 143, no. 1 (2014): 13–22. http://dx.doi.org/10.1017/s095026881400048x.

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SUMMARYMulticomponent cyclicity in influenza (flu) incidence had been observed in various countries (e.g. periods T = 1, 2–3, 5–6, 8·0, 10·6–11·3, 13, 18–19 years) and its close similarity with cycles in natural environmental phenomena as meteorological factors and heliogeophysical activity (HGA) suggested. This report aimed at verifying previous results on cyclic patterns of flu incidence by exploring whether flu annual cyclicity (seasonality) and trans-year (13 to <24 months) and/or multiannual (long-term, ⩾24 months) cycles might be present. For this purpose, a relatively long monthly fl

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Chiriaco, Marjolaine, Jean-Charles Dupont, Sophie Bastin, et al. "ReOBS: a new approach to synthesize long-term multi-variable dataset and application to the SIRTA supersite." Earth System Science Data 10, no. 2 (2018): 919–40. http://dx.doi.org/10.5194/essd-10-919-2018.

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Abstract. A scientific approach is presented to aggregate and harmonize a set of 60 geophysical variables at hourly timescale over a decade, and to allow multiannual and multi-variable studies combining atmospheric dynamics and thermodynamics, radiation, clouds and aerosols from ground-based observations. Many datasets from ground-based observations are currently in use worldwide. They are very valuable because they contain complete and precise information due to their spatio-temporal co-localization over more than a decade. These datasets, in particular the synergy between different type of o

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Latchmore, Tessa, Paul D. Hynds, R. Stephen Brown, Kevin McDermott, and Anna Majury. "Estimating the duration and overlap of Escherichia coli contamination events in private groundwater supplies for quantitative risk assessment using a multiannual (2010–2017) provincial dataset." Environmental Pollution 309 (September 2022): 119784. http://dx.doi.org/10.1016/j.envpol.2022.119784.

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Groos, Alexander R., Janik Niederhauser, Bruk Lemma, et al. "An hourly ground temperature dataset for 16 high-elevation sites (3493–4377 m a.s.l.) in the Bale Mountains, Ethiopia (2017–2020)." Earth System Science Data 14, no. 3 (2022): 1043–62. http://dx.doi.org/10.5194/essd-14-1043-2022.

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Abstract. Tropical mountains and highlands in Africa are under pressure because of anthropogenic climate and land-use change. To determine the impacts on the afro-alpine environment and to assess the potential socio-economic consequences, the monitoring of essential climate and environmental variables at high elevation is fundamental. However, long-term temperature observations on the African continent above 3000 m are very rare. Here we present a consistent multiannual dataset of hourly ground temperatures for the Bale Mountains in the southern Ethiopian Highlands, which comprise Africa's lar

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Zowam, Fabian J., Adam M. Milewski, and David F. Richards IV. "A Satellite-Based Approach for Quantifying Terrestrial Water Cycle Intensity." Remote Sensing 15, no. 14 (2023): 3632. http://dx.doi.org/10.3390/rs15143632.

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The terrestrial water cycle intensity (WCI) is a widely used tool to quantify the impact of climate change on the distribution of global water resources. In this study, a satellite-based WCI was tested by comparing the parameter-elevation regressions on independent slopes model (PRISM) precipitation estimates with those of the Global Precipitation Measurement (GPM) satellite mission across the contiguous United States (CONUS), based on an existing Köppen–Geiger climate classification for the CONUS. Both precipitation products were not statistically different across all climate classes. Consequ

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Bauer-Marschallinger, Bernhard, Wouter A. Dorigo, Wolfgang Wagner, and Albert I. J. M. van Dijk. "How Oceanic Oscillation Drives Soil Moisture Variations over Mainland Australia: An Analysis of 32 Years of Satellite Observations*." Journal of Climate 26, no. 24 (2013): 10159–73. http://dx.doi.org/10.1175/jcli-d-13-00149.1.

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Abstract Australia is frequently subject to droughts and floods. Its hydrology is strongly connected to oceanic and atmospheric oscillations (climate modes) such as the El Niño–Southern Oscillation (ENSO), Indian Ocean dipole (IOD), and southern annular mode (SAM). A global 32-yr dataset of remotely sensed surface soil moisture (SSM) was used to examine hydrological variations in mainland Australia for the period 1978–2010. Complex empirical orthogonal function (CEOF) analysis was applied to extract independent signals and to investigate their relationships to climate modes. The annual cycle s

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Cusack, Stephen. "A long record of European windstorm losses and its comparison to standard climate indices." Natural Hazards and Earth System Sciences 23, no. 8 (2023): 2841–56. http://dx.doi.org/10.5194/nhess-23-2841-2023.

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Abstract. Traditional insurance has both a great exposure to decadal variations in European storm activity and the ability to adjust its business strategy over these timescales. Hence, the recent development of skilful predictions of multiannual mean European winter climate seems a very welcome addition to the long list of ways that researchers have improved management of windstorm risk. Yet companies do not use these forecasts of mean winter climate to adjust their view of risk. The main reason is the lack of a long, reliable record of losses to understand how forecasted time-mean circulation

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Khan, Shfaqat A., Helene Seroussi, Mathieu Morlighem, et al. "Smoothed monthly Greenland ice sheet elevation changes during 2003–2023." Earth System Science Data 17, no. 6 (2025): 3047–71. https://doi.org/10.5194/essd-17-3047-2025.

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Abstract. The surface elevation of the Greenland Ice Sheet is constantly changing due to the interplay between surface mass balance processes and ice dynamics, each exhibiting distinct spatiotemporal patterns. Here, we employ satellite and airborne altimetry data with fine spatial (1 km) and temporal (monthly) resolutions to document this spatiotemporal evolution from January 2003 to August 2023. To estimate elevation changes of the Greenland Ice Sheet (GIS), we utilize radar altimetry data from CryoSat-2 and EnviSat, laser altimetry data from the ICESat and ICESat-2, and laser altimetry data

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Gonçalves Ageitos, María, Vincenzo Obiso, Ron L. Miller, et al. "Modeling dust mineralogical composition: sensitivity to soil mineralogy atlases and their expected climate impacts." Atmospheric Chemistry and Physics 23, no. 15 (2023): 8623–57. http://dx.doi.org/10.5194/acp-23-8623-2023.

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Abstract. Soil dust aerosols are a key component of the climate system, as they interact with short- and long-wave radiation, alter cloud formation processes, affect atmospheric chemistry and play a role in biogeochemical cycles by providing nutrient inputs such as iron and phosphorus. The influence of dust on these processes depends on its physicochemical properties, which, far from being homogeneous, are shaped by its regionally varying mineral composition. The relative amount of minerals in dust depends on the source region and shows a large geographical variability. However, many state-of-

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Fornasaro, Stefano, Aleksander Astel, Pierluigi Barbieri, and Sabina Licen. "Disentangling Multiannual Air Quality Profiles Aided by Self-Organizing Map and Positive Matrix Factorization." Toxics 13, no. 2 (2025): 137. https://doi.org/10.3390/toxics13020137.

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The evaluation of air pollution is a critical concern due to its potential severe impacts on human health. Currently, vast quantities of data are collected at high frequencies, and researchers must navigate multiannual, multisite datasets trying to identify possible pollutant sources while addressing the presence of noise and sparse missing data. To address this challenge, multivariate data analysis is widely used with an increasing interest in neural networks and deep learning networks along with well-established chemometrics methods and receptor models. Here, we report a combined approach in

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Sanda, Mia, Daniel Dunea, Stefania Iordache, Alin Pohoata, Ana-Maria Glod-Lendvai, and Ion Onutu. "A Three-Year Analysis of Toxic Benzene Levels and Associated Impact in Ploieşti City, Romania." Toxics 11, no. 9 (2023): 748. http://dx.doi.org/10.3390/toxics11090748.

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This study examines the levels of benzene and the potential health impact during three years of continuous monitoring (2019–2021), including the COVID-lockdown period from 2020 in a city that is an important Romanian center for petroleum refining and associated product manufacturing. The dataset contains benzene, toluene, NOx, PM10 concentrations, and meteorological factors monitored by six automatic stations from the national network of which four are in the city and two outside. Special attention was given to the benzene dynamics to establish patterns related to the health impact and leukemi

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Ziemblinska, Klaudia, Janusz Olejnik, Marek Urbaniak, Stanisław Małek, and Michał Jasik. "Carbon and Water Fluxes in a Temperate Scots Pine Chronosequence Study in Poland: An EC Measurement Story from an ICOS-Aspiring Country." ARPHA Conference Abstracts 8 (May 28, 2025): e149302. https://doi.org/10.3897/aca.8.e149302.

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Long-term measurements of greenhouse gases, and consequently the carbon, water, and nitrogen cycles, have been the focus of numerous studies for decades. Currently, the most accurate and widely used method for real-time, spatially-averaged estimates of these fluxes is the eddy covariance technique (EC). Over time, individual sites across Europe have been integrated into the Integrated Carbon Observation System (ICOS), creating a network with standardized measurement and data processing protocols, thereby producing high-quality, directly comparable results. Since forests play a major role in th

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González-Álvarez, Álvaro, Orlando Viloria-Marimón, Óscar Coronado-Hernández, Andrés Vélez-Pereira, Kibrewossen Tesfagiorgis, and Jairo Coronado-Hernández. "Isohyetal Maps of Daily Maximum Rainfall for Different Return Periods for the Colombian Caribbean Region." Water 11, no. 2 (2019): 358. http://dx.doi.org/10.3390/w11020358.

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In Colombia, daily maximum multiannual series are one of the main inputs for design streamflow calculation, which requires performing a rainfall frequency analysis that involves several prior steps: (a) requesting the datasets, (b) waiting for the information, (c) reviewing the datasets received for missing or data different from the requested variable, and (d) requesting the information once again if it is not correct. To tackle these setbacks, 318 rain gauges located in the Colombian Caribbean region were used to first evaluate whether or not the Gumbel distribution was indeed the most suita

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Shimabukuro, Yosio E., Egidio Arai, Gabriel M. da Silva, et al. "Mapping and Monitoring Forest Plantations in São Paulo State, Southeast Brazil, Using Fraction Images Derived from Multiannual Landsat Sensor Images." Forests 13, no. 10 (2022): 1716. http://dx.doi.org/10.3390/f13101716.

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This article presents a method, based on orbital remote sensing, to map the extent of forest plantations in São Paulo State (Southeast Brazil). The proposed method uses the random forest machine learning algorithm available on the Google Earth Engine (GEE) cloud computing platform. We used 30 m annual mosaics derived from Landsat-5 Thematic Mapper (TM) images and from Landsat-8 Operational Land Imager (OLI) images for the 1985 to 1995 and 2013 to 2021 time periods, respectively. These time periods were selected based on the planted areas’ rotation, especially the eucalypt’s short rotation. To

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Galiforni-Silva, Filipe, Kathelijne M. Wijnberg, and Suzanne J. M. H. Hulscher. "Storm-induced sediment supply to coastal dunes on sand flats." Earth Surface Dynamics 8, no. 2 (2020): 335–50. http://dx.doi.org/10.5194/esurf-8-335-2020.

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Abstract. Growth of coastal dunes requires a marine supply of sediment. Processes that control the sediment transfer between the subtidal and the supratidal zone are not fully understood, especially in sand flats close to inlets. It is hypothesised that storm surge events induce sediment deposition on sand flats, providing fresh material for aeolian transport and dune growth. The objective of this study is to identify which processes cause deposition on the sand flat during storm surge conditions and discuss the relationship between the supratidal deposition and sediment supply to the dunes. W

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Cabrera César, José, Jean Caratt Ortiz, Guillermo Valencia Ochoa, Rafael Ramírez Restrepo, and José R. Nuñez Alvarez. "A New Computational Tool for the Development of Advanced Exergy Analysis and LCA on Single Effect LiBr–H2O Solar Absorption Refrigeration System." Lubricants 9, no. 8 (2021): 76. http://dx.doi.org/10.3390/lubricants9080076.

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A single effect LiBr–H2O absorption refrigeration system coupled with a solar collector and a storage tank was studied to develop an assessment tool using the built-in App Designer in MATLAB®. The model is developed using balances of mass, energy, and species conservation in the components of the absorption cooling system, taking into account the effect of external streams through temperature and pressure drop. The whole system, coupled with the solar energy harvesting arrangement, is modeled for 24 h of operation with changes on an hourly basis based on ambient temperature, cooling system loa

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Mueller, Marlin M., Clémence Dubois, Thomas Jagdhuber, et al. "Sentinel-1 Backscatter Time Series for Characterization of Evapotranspiration Dynamics over Temperate Coniferous Forests." Remote Sensing 14, no. 24 (2022): 6384. http://dx.doi.org/10.3390/rs14246384.

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Forests’ ecosystems are an essential part of the global carbon cycle with vast carbon storage potential. These systems are currently under external pressures showing increasing change due to climate change. A better understanding of the biophysical properties of forests is, therefore, of paramount importance for research and monitoring purposes. While there are many biophysical properties, the focus of this study is on the in-depth analysis of the connection between the C-band Copernicus Sentinel-1 SAR backscatter and evapotranspiration (ET) estimates based on in situ meteorological data and t

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Taszarek, Mateusz, John Allen, Tomáš Púčik, et al. "A Climatology of Thunderstorms across Europe from a Synthesis of Multiple Data Sources." Journal of Climate 32, no. 6 (2019): 1813–37. http://dx.doi.org/10.1175/jcli-d-18-0372.1.

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Abstract The climatology of (severe) thunderstorm days is investigated on a pan-European scale for the period of 1979–2017. For this purpose, sounding measurements, surface observations, lightning data from ZEUS (a European-wide lightning detection system) and European Cooperation for Lightning Detection (EUCLID), ERA-Interim, and severe weather reports are compared and their respective strengths and weaknesses are discussed. The research focuses on the annual cycles in thunderstorm activity and their spatial variability. According to all datasets thunderstorms are the most frequent in the cen

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Scotti, Alberto, and Roberta Bottarin. "Fine-scale multiannual survey of benthic invertebrates in a glacier-fed stream used for hydropower generation." Scientific Data 8, no. 1 (2021). http://dx.doi.org/10.1038/s41597-021-00887-x.

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AbstractThe present dataset contains information about aquatic macroinvertebrates and environmental variables collected before and after the implementation of a small “run-of-river” hydropower plant on the Saldur stream, a glacier-fed stream located in the Italian Central-Eastern Alps. Between 2015 and 2019, with two sampling events per year, we collected and identified 34,836 organisms in 6 sampling sites located within a 6 km stretch of the stream. Given the current boom of the hydropower sector worldwide, and the growing contribution of small hydropower plants to energy production, data her

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BĂLAN, Diana, and Ana-Cristina NICOLESCU. "OVERNANCE MATTERS: INSIGHTS INTO EUROPEAN UNION FUND ABSORPTION ACROSS SUCCESSIVE MULTIANNUAL FINANCIAL FRAMEWORKS." Annals of the University of Oradea Economic Sciences, December 31, 2024. https://doi.org/10.47535/1991auoes33(2)009.

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This paper explores the relationship between governance quality and European Structural and Investment Funds (ESI Funds) efficiency at the European Union (EU) level. This research proposes a new approach by classifying Member States into distinct groups based on governance indicators and ESI Funds absorption. The study uses a comprehensive dataset for 27 EU Member States from 2007 to 2022. This time frame covers the last two multiannual financial frameworks (MFFs): 2007-2013 and 2014-2020. The main results reveal a clear connection between the quality of governance and the degree of ESI Funds

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Kosak, Ferdinand, and Sven Hilbert. "The Passage of Years: Not a Matter of Covert Retrieval of Autobiographical Memories." Frontiers in Psychology 12 (October 14, 2021). http://dx.doi.org/10.3389/fpsyg.2021.744551.

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In current research, variations in retrospective passage of time judgments for long intervals are commonly attributed to differences regarding the number of experiences in these intervals or the accessibility of the respective memories. This seems to imply the assumption of a covert retrieval, where authors presume that memories from the respective interval influence the experience of time without these memories being explicitly activated when judging. However, no studies have systematically investigated the relation between the experience of time and the respective experiences and memories. T

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Kosak, Ferdinand, and Sven Hilbert. "The Passage of Years: Not a Matter of Covert Retrieval of Autobiographical Memories." Frontiers in Psychology 12 (October 14, 2021). http://dx.doi.org/10.3389/fpsyg.2021.744551.

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In current research, variations in retrospective passage of time judgments for long intervals are commonly attributed to differences regarding the number of experiences in these intervals or the accessibility of the respective memories. This seems to imply the assumption of a covert retrieval, where authors presume that memories from the respective interval influence the experience of time without these memories being explicitly activated when judging. However, no studies have systematically investigated the relation between the experience of time and the respective experiences and memories. T

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Brönnimann, Stefan. "Evolution of total column ozone prior to the era of ozone depletion." Frontiers in Earth Science 11 (February 6, 2023). http://dx.doi.org/10.3389/feart.2023.1079510.

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Total column ozone has been monitored for almost a century. The focus of most research studies over the last 40 years was on the era of ozone depletion and the detection of signs of recovery. However, the question also arises to what extent total column ozone has changed prior to this era. Possible causes could be changes in ozone production (both in the troposphere and stratosphere) due to changing atmospheric composition, changes in solar activity, or climatic changes. In this contribution, I discuss the evolution of total column ozone in the 40 years from 1924, when ozone monitoring started

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Voutilainen, Liina, Eva R. Kallio, Jukka Niemimaa, Olli Vapalahti, and Heikki Henttonen. "Temporal dynamics of Puumala hantavirus infection in cyclic populations of bank voles." Scientific Reports 6, no. 1 (2016). http://dx.doi.org/10.1038/srep21323.

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Abstract Understanding the dynamics of zoonotic pathogens in their reservoir host populations is a prerequisite for predicting and preventing human disease epidemics. The human infection risk of Puumala hantavirus (PUUV) is highest in northern Europe, where populations of the rodent host (bank vole, Myodes glareolus) undergo cyclic fluctuations. We conducted a 7-year capture-mark-recapture study to monitor seasonal and multiannual patterns of the PUUV infection rate in bank vole populations exhibiting a 3-year density cycle. Infected bank voles were most abundant in mid-winter months during ye

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Brook, Cara E., Carly Rozins, Jennifer A. Bohl, et al. "Climate, demography, immunology, and virology combine to drive two decades of dengue virus dynamics in Cambodia." Proceedings of the National Academy of Sciences 121, no. 36 (2024). http://dx.doi.org/10.1073/pnas.2318704121.

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The incidence of dengue virus disease has increased globally across the past half-century, with highest number of cases ever reported in 2019 and again in 2023. We analyzed climatological, epidemiological, and phylogenomic data to investigate drivers of two decades of dengue in Cambodia, an understudied endemic setting. Using epidemiological models fit to a 19-y dataset, we first demonstrate that climate-driven transmission alone is insufficient to explain three epidemics across the time series. We then use wavelet decomposition to highlight enhanced annual and multiannual synchronicity in den

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Levy, Zeno F., Bryant C. Jurgens, Kirsten E. Faulkner, Jennifer S. Harkness, and Miranda S. Fram. "Basin‐scale responses of groundwater‐resource quality to drought and recovery, San Joaquin Valley, California." Hydrological Processes 38, no. 4 (2024). http://dx.doi.org/10.1002/hyp.15131.

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AbstractGroundwater‐resource quality is assumed to be less responsive to drought compared to that of surface water due to relatively long transit times of recharge to drinking‐supply wells. Here, we evidence dynamic perturbations in aquifer pressure dynamics during drought and subsequent recovery periods cause dramatic shifts in groundwater quality on a basin scale. We used a novel application of time‐series clustering on annual nitrate anomalies at >450 public‐supply wells (PSWs) across California's San Joaquin Valley during 2000–22 to group sub‐populations of wells with similar water‐qual

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Ziemblinska, Klaudia, Janusz Olejnik, Marek Urbaniak, Stanisław Małek, and Michał Jasik. "Carbon and Water Fluxes in a Temperate Scots Pine Chronosequence Study in Poland: An EC Measurement Story from an ICOS-Aspiring Country." ARPHA Conference Abstracts 8 (May 28, 2025). https://doi.org/10.3897/aca.8.e149302.

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Long-term measurements of greenhouse gases, and consequently the carbon, water, and nitrogen cycles, have been the focus of numerous studies for decades. Currently, the most accurate and widely used method for real-time, spatially-averaged estimates of these fluxes is the eddy covariance technique (EC). Over time, individual sites across Europe have been integrated into the Integrated Carbon Observation System (ICOS), creating a network with standardized measurement and data processing protocols, thereby producing high-quality, directly comparable results. Since forests play a major role in th

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Platikanov, Stefan, Jordi F. Lopez, Belen Martrat, Javier Martin‐Vide, and Roma Tauler. "Temporal and Spatial Relationships Between Climatic Indices and Precipitation Zones in Europe, Spain and Catalonia." International Journal of Climatology, November 29, 2024. http://dx.doi.org/10.1002/joc.8699.

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ABSTRACTThis study focuses on identifying distinct precipitation zones across Europe, Spain and Catalonia, and second, examining how various large‐ and small‐scale climatic patterns affect the precipitation in these zones. Previous research has focused primarily on the relationships between individual climatic indices and precipitation in specific regions but has often overlooked the combined influence of multiple climate signals on precipitation variability. To address these issues, this study proposes the use of principal component analysis (PCA) as a multivariate analysis framework to inves

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