Scientific Results

This catalogue is obtained by conducting a systematic literature review of scientific studies and reviews related to monitoring, forecasting, and simulating the inland water cycle. The analysis maps scientific expertise across research groups and classifies findings by the type of inland water studied, application focus, and geographical scope. A gap analysis will identify missing research areas and assess their relevance to policymaking.

ID â–Č Type Year Authors Title Venue/Journal DOI Research type Water System Technical Focus Abstract Link with Projects Link with Tools Related policies ID
publications-2021 Peer reviewed articles 2022 Chamanthi Denisha Jayaweera, Niels Groot, Steven Meul, Arne Verliefde, Ingmar Nopens, Ivaylo Hitsov [under revision] Development of a hybrid model for reliably predicting the thermal performance of direct contact countercurrent cooling towers International Journal of Heat and Mass Transfer Data Management & Analytics Precipitation & Ecological Systems No abstract available 958396
publications-2022 Peer reviewed articles 2023 Sretenka Srdić, Zorica Srđević, RuĆŸica Stričević, NataĆĄa Čereković, Pavel Benka, Nada Rudan, Milica Rajić, Mladen Todorović Assessment of Empirical Methods for Estimating Reference Evapotranspiration in Different Climatic Zones of Bosnia and Herzegovina Water 10.3390/w15173065 Simulation & Modeling Precipitation & Ecological Systems The study evaluated nine empirical methods for estimating reference evapotranspiration (ETo) in Bosnia and Herzegovina (BiH) across different climatic zones. The methods compared were the Hargreaves–Samani method (HS), the modified Hargreaves–Samani method (HM), the calibrated Hargreaves–Samani method (HC), the Priestley–Taylor method (PT), the Copais method (COP), the Makkink method (MAK), the Penman–Monteith method based on air temperature and overall average windspeed (PMT2), the Penman–Monteith method based on air temperature and regional average windspeed (PMT1.3), and the Penman–Monteith method based on air temperature and site-specific windspeed (PMTlok). These methods were tested against the “Food Agricultural Organization-Penman Monteith approach” (FAO-PM). The evaluation was performed using data from 20 meteorological stations in BiH, considering a common irrigation season (April–October) for two periods (2000–2005 and 2018–2022). The stations represented three climatic zones: semi-arid (SA), dry sub-humid (DSH), and moist sub-humid (MSH). The performance and ranking of the ETo methods were analyzed using the TOPSIS method. The trend of ETo during the common irrigation season for the period from 2018 to 2022 was determined using the Mann–Kendall test. The results of the study indicated that the HC method showed the best performance across all three climatic zones. The average root mean square error (RMSE) was 0.67 mm day−1, 0.49 mm day−1, and 0.50 mm day−1 for the SA, DSH, and MSH zones, respectively. As an alternative to the HC method, the PT method is recommended for its favorable results in both periods and in all zones. On the other hand, the HS method exhibited the highest average overestimation, particularly in the MSH zone, where ETo values were 18% higher compared with those of the FAO-PM method. The COP method also showed high overestimation and was not recommended for use. Regarding the MAK method, it resulted in underestimation during the period from 2000 to 2005, ranging from 17% in the DSH zone to 11% in the MSH zone. However, its performance improved during the period from 2018 to 2022, for which it ranked second place in the MSH zone. Among the PMT methods, the PMTlok, which utilized local average windspeed, yielded the best results. Despite performing well in the neighboring country of Serbia, the HM method showed poor overall performance in BiH. The findings of this study can serve as a foundation for further research in BiH to enhance irrigation practices in response to climate changes. 952396
publications-2023 Peer reviewed articles 2024 Sabrija Čadro; Zuhdija Omerović; Daniela Soares; Benjamin Crljenković; Wilk S. Almeida; Milan Ơipka; Merima Makaơ; Mladen Todorović; Teresa A. Paço Upgrading maize cultivation in Bosnia and Herzegovina from rainfed to irrigated systems: use of remote sensing data and the dual crop coefficient approach to estimate evapotranspiration Water 10.3390/w16131797 Simulation & Modeling Precipitation & Ecological Systems A two-year experiment was conducted with a local maize hybrid under full (F) and deficit (D) drip irrigation and rainfed conditions (R) to estimate maize evapotranspiration in Bosnia and Herzegovina (BiH). Three approaches, namely, A&P, SIMDualKc (SD), and vegetation index (VI), to estimate the actual crop coefficient (Kc act), the actual basal crop coefficient (Kcb act), and the actual crop evapotranspiration (ETc act), were applied with the dual crop coefficient method and remote sensing (RS) data for the first time. While Kcb act from all approaches matched FAO56 tabulated values, SD showed differences in comparison to A&P of up to 0.24 in D and R conditions, especially in the initial and mid-season stages. VI demonstrated very good performance in all treatments. In F, the obtained Kc act for all approaches during the initial and end stages were higher than the tabulated values, ranging from 0.71 to 0.87 for the Kc ini act and from 0.80 to 1.06 for the Kc end act, while the mid-season period showed very good agreement with the literature. The maize crop evapotranspiration range is 769–813 mm, 480–752 mm, and 332–618 mm for F, D, and R, respectively. The results confirmed the suitability of both approaches (SD and VI) to estimate maize crop evapotranspiration under F, with the VI approach demonstrating an advantage in calculating Kcb act, Kc act, and ETc act values under water stress conditions. The higher observed yields (67.6%) under irrigation conditions emphasize the need to transition from rainfed to irrigation-dependent agriculture in BiH, even for drought-resistant crops like maize. 952396
publications-2024 Peer reviewed articles 2024 Cerekovic, N; Markovic, M; Radic, V; Cadro, S; Crljenkovic, B; Zapata, N; Paço, TA; Almeida, W; Stricevic, R; Todorovic, M. Impact of different water regimes on maize grown at two distinctive pedo-climatic locations in Bosnia and Herzegovina Spanish Journal of Agricultural Research Data Management & Analytics Precipitation & Ecological Systems No abstract available 952396
publications-2025 Peer reviewed articles 2023 Emma Sullivan*, Matthew Cole, Elizabeth C. Atwood, Penelope K. Lindeque, Pham Thi Chin, Victor Martinez-Vicente In situ correlation between microplastic and suspended particulate matter concentrations in river-estuary systems support proxies for satellite-derived estimates of microplastic flux Marine Pollution Bulletin 10.1016/j.marpolbul.2023.115529 Data Management & Analytics Precipitation & Ecological Systems No abstract available 870349
publications-2026 Peer reviewed articles 2020 E. Spyrakos, P. Hunter, S. Simis, C. Neil, C. Riddick, S. Wang, A. Varley, M. Blake, S. Groom, J. Torres Palenzuela, L. Vilas Gonzalez, C. Cardenas, M. Frangopulos, X. Aguilar Vega, J. L. Iriarte, A. Tyler MOVING TOWARDS GLOBAL SATELLITE BASED PRODUCTS FOR MONITORING OF INLAND AND COASTAL WATERS. REGIONAL EXAMPLES FROM EUROPE AND SOUTH AMERICA ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences 10.5194/isprs-annals-iv-3-w2-2020-101-2020 Simulation & Modeling Precipitation & Ecological Systems Abstract. Surface waters are a fundamental resource. They fulfil key function in global biogeochemical cycles and are core to our water, food and energy security. The rapidly increasing rate of data collection from different Earth observation (EO) missions suitable for observing water bodies has promoted satellite remote sensing (RS) as a more widely recognised source of information on a number of indicators of water quality and ecosystem condition at local and global scales. In parallel, advances in optical sensors support new and more detailed characterisation of the Earth surface and could lead to innovative EO-based products. Nonetheless, RS of water colour of inland and coastal systems, especially in larger scales and over long-term time series, faces unique challenges. This study provides an overview of the challenges and solutions of developing a global observation platform, including the diverse and complex optical properties of inland waters and guided algorithm selection procedure required to deliver reliable data. The development and validation of a global satellite data processing chain (Calimnos) has been supported by access to an extensive in situ data from more than thirty partners around the world that are now held in the LIMNADES community-owned database. This approach has resulted in a step-change in our ability to produce regional and global water quality products for optically complex waters. Local examples of the data outputs will be explored and the opportunities in how these data can be embedded within local and national monitoring schemes to facilitate better management of water will be discussed. 870349
publications-2027 Peer reviewed articles 2023 Dalin Jiang a, Bunkei Matsushita, Nima Pahlevan, Daniela Gurlin, C ́edric G. Fichot, Joshua Harringmeyer, Giulia Sent, Ana C. Brito, Vanda Brotas, Mortimer Werther, Veloisa Mascarenhas, Matthew Blake, Peter Hunter, Andrew Tyler, Evangelos Spyrakos Estimating the concentration of total suspended solids in inland and coastal waters from Sentinel-2 MSI: A semi-analytical approach. ISPRS Journal of Photogrammetry and Remote Sensing 10.1016/j.isprsjprs.2023.09.020 Data Management & Analytics Precipitation & Ecological Systems No abstract available 870349
publications-2028 Peer reviewed articles 2022 Braga F., Fabbretto A., Vanhellemont Q., Bresciani M., Giardino C., Scarpa G.M., Manfe G., Concha J.A., Brando V.E. Assessment of PRISMA water reflectance using autonomous hyperspectral radiometry ISPRS Journal of Photogrammetry and Remote Sensing 10.1016/j.isprsjprs.2022.08.009 Simulation & Modeling Irrigation Systems No abstract available 870349
publications-2029 Peer reviewed articles 2022 J. Lin, G. Dall'Olmo, G. H. Tilstone, R. J.W. Brewin, V. Vabson, I. Ansko, H. Evers-King, T. Casal, C. Donlon Derivation of uncertainty budgets for continuous above-water radiometric measurements along an Atlantic Meridional Transect Optics Express 10.1364/oe.470994 Simulation & Modeling Precipitation & Ecological Systems Fiducial reference measurements are in-situ data traceable to metrology standards, with associated uncertainties. This paper presents the methodology used to derive the uncertainty budget for underway, above-water measurements from the Seabird Hyperspectral Surface Acquisition System deployed on an Atlantic Meridional Transect in 2018. The average uncertainty of remote sensing reflectance for clear sky days was ∌ 6% at wavelengths < 490 nm and ∌ 12% at wavelengths > 550 nm. The environmental variability such as sun position, wind speed and skylight distribution caused the greatest uncertainty. The different components of the uncertainty budget are critically assessed to indicate how the measurement procedure could be improved through reducing the principal uncertainty sources. 870349
publications-2030 Peer reviewed articles 2023 Junfang Lin, Zhongping Lee, Gavin H. Tilstone, Xiaohan Liu, Jianwei Wei, Michael Ondrusek, and Steve Groom Revised spectral optimization approach to remove surface-reflected radiance for the estimation of remote-sensing reflectance from the above-water method. Optics Express 10.1364/oe.486981 Data Management & Analytics Groundwater The effective sea-surface skylight reflectance (ρ) is an important parameter for removing the contribution of surface-reflected radiance when measuring water-leaving radiance (Lw) using the above-water approach (AWA). Radiative simulations and field measurements show that ρ varies spectrally. To improve the determination of Lw (and then remote sensing reflectance, Rrs) from the AWA, we further developed a wavelength-dependent model for ρ to remove surface-reflected radiance, which is applied with a spectral optimization approach for the determination of Rrs. Excellent agreement was achieved between the AWA-derived and skylight-blocked approach (SBA)-obtained Rrs (coefficient of determination > 0.92, mean absolute percentage deviation < ∌ 11% for Rrs > 0.0005 sr-1), even during high wave conditions. We found that the optimization approach with the new ρ model worked very well for a wide range of water types and observation geometries. For developing remote sensing algorithms and evaluating satellite products, it would be beneficial to apply this approach to current and historical above-water in situ measurements of Rrs to improve the quality of these data. In addition, this approach could also increase the number of useable spectra where previously rendered unusable when processed with a traditional scheme. 870349