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Pechlivanidis, IliasORCID iD iconorcid.org/0000-0002-3416-317X
Publications (10 of 15) Show all publications
Pechlivanidis, I., Gupta, H. & Bosshard, T. (2018). An Information Theory Approach to Identifying a Representative Subset of Hydro-Climatic Simulations for Impact Modeling Studies. Water resources research, 54(8), 5422-5435
Open this publication in new window or tab >>An Information Theory Approach to Identifying a Representative Subset of Hydro-Climatic Simulations for Impact Modeling Studies
2018 (English)In: Water resources research, ISSN 0043-1397, E-ISSN 1944-7973, Vol. 54, no 8, p. 5422-5435Article in journal (Refereed) Published
National Category
Oceanography, Hydrology and Water Resources
Research subject
Hydrology
Identifiers
urn:nbn:se:smhi:diva-4977 (URN)10.1029/2017WR022035 (DOI)000445451800014 ()
Available from: 2018-10-10 Created: 2018-10-10 Last updated: 2018-10-10Bibliographically approved
Nijzink, R., Almeida, S., Pechlivanidis, I., Capell, R., Gustafsson, D., Arheimer, B., . . . Hrachowitz, M. (2018). Constraining Conceptual Hydrological ModelsWith Multiple Information Sources. Water resources research, 54(10), 8332-8362
Open this publication in new window or tab >>Constraining Conceptual Hydrological ModelsWith Multiple Information Sources
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2018 (English)In: Water resources research, ISSN 0043-1397, E-ISSN 1944-7973, Vol. 54, no 10, p. 8332-8362Article in journal (Refereed) Published
Abstract [en]

The calibration of hydrological models without streamflow observations is problematic, and the simultaneous, combined use of remotely sensed products for this purpose has not been exhaustively tested thus far. Our hypothesis is that the combined use of products can (1) reduce the parameter search space and (2) improve the representation of internal model dynamics and hydrological signatures. Five different conceptual hydrological models were applied to 27 catchments across Europe. A parameter selection process, similar to a likelihood weighting procedure, was applied for 1,023 possible combinations of 10 different data sources, ranging from using 1 to all 10 of these products. Distances between the two empirical distributions of model performance metrics with and without using a specific product were determined to assess the added value of a specific product. In a similar way, the performance of the models to reproduce 27 hydrological signatures was evaluated relative to the unconstrained model. Significant reductions in the parameter space were obtained when combinations included Advanced Microwave Scanning Radiometer ‐ Earth Observing System and Advanced Scatterometer soil moisture, Gravity Recovery and Climate Experiment total water storage anomalies, and, in snow‐dominated catchments, the Moderate Resolution Imaging Spectroradiometer snow cover products. The evaporation products of Land Surface Analysis ‐ Satellite Application Facility and MOD16 were less effective for deriving meaningful, well‐constrained posterior parameter distributions. The hydrological signature analysis indicated that most models profited from constraining with an increasing number of data sources. Concluding, constraining models with multiple data sources simultaneously was shown to be valuable for at least four of the five hydrological models to determine model parameters in absence of streamflow.

Place, publisher, year, edition, pages
John Wiley & Sons, 2018
National Category
Oceanography, Hydrology and Water Resources
Research subject
Hydrology
Identifiers
urn:nbn:se:smhi:diva-5011 (URN)10.1029/2017WR021895 (DOI)
Available from: 2018-11-26 Created: 2018-11-26 Last updated: 2018-11-26Bibliographically approved
Olsson, J., Pers, C., Bengtsson, L., Pechlivanidis, I., Berg, P. & Körnich, H. (2017). Distance-dependent depth-duration analysis in high-resolution hydro-meteorological ensemble forecasting: A case study in Malmo City, Sweden. Environmental Modelling & Software, 93, 381-397
Open this publication in new window or tab >>Distance-dependent depth-duration analysis in high-resolution hydro-meteorological ensemble forecasting: A case study in Malmo City, Sweden
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2017 (English)In: Environmental Modelling & Software, ISSN 1364-8152, E-ISSN 1873-6726, Vol. 93, p. 381-397Article in journal (Refereed) Published
National Category
Oceanography, Hydrology and Water Resources
Research subject
Hydrology
Identifiers
urn:nbn:se:smhi:diva-4135 (URN)10.1016/j.envsoft.2017.03.025 (DOI)000403512500026 ()
Available from: 2017-08-08 Created: 2017-08-08 Last updated: 2018-01-13Bibliographically approved
Krysanova, V., Vetter, T., Eisner, S., Huang, S., Pechlivanidis, I., Strauch, M., . . . Hattermann, F. F. (2017). Intercomparison of regional-scale hydrological models and climate change impacts projected for 12 large river basins worldwide-a synthesis. Environmental Research Letters, 12(10), Article ID 105002.
Open this publication in new window or tab >>Intercomparison of regional-scale hydrological models and climate change impacts projected for 12 large river basins worldwide-a synthesis
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2017 (English)In: Environmental Research Letters, ISSN 1748-9326, E-ISSN 1748-9326, Vol. 12, no 10, article id 105002Article in journal (Refereed) Published
National Category
Oceanography, Hydrology and Water Resources
Research subject
Hydrology
Identifiers
urn:nbn:se:smhi:diva-4313 (URN)10.1088/1748-9326/aa8359 (DOI)000411925900002 ()
Available from: 2017-11-13 Created: 2017-11-13 Last updated: 2018-01-13Bibliographically approved
Pechlivanidis, I., McIntyre, N. & Wheater, H. S. (2017). The significance of spatial variability of rainfall on simulated runoff: an evaluation based on the Upper Lee catchment, UK. Hydrology Research, 48(4), 1118-1130
Open this publication in new window or tab >>The significance of spatial variability of rainfall on simulated runoff: an evaluation based on the Upper Lee catchment, UK
2017 (English)In: Hydrology Research, ISSN 1998-9563, E-ISSN 2224-7955, Vol. 48, no 4, p. 1118-1130Article in journal (Refereed) Published
National Category
Oceanography, Hydrology and Water Resources
Research subject
Hydrology
Identifiers
urn:nbn:se:smhi:diva-4334 (URN)10.2166/nh.2016.038 (DOI)000409334100018 ()
Available from: 2017-11-10 Created: 2017-11-10 Last updated: 2018-01-13Bibliographically approved
Hundecha, Y., Arheimer, B., Donnelly, C. & Pechlivanidis, I. (2016). A regional parameter estimation scheme for a pan-European multi-basin model.. Journal of Hydrology, 6, 90-111
Open this publication in new window or tab >>A regional parameter estimation scheme for a pan-European multi-basin model.
2016 (English)In: Journal of Hydrology, ISSN 0022-1694, E-ISSN 1879-2707, Vol. 6, p. 90-111Article in journal (Refereed) Published
National Category
Oceanography, Hydrology and Water Resources
Research subject
Hydrology
Identifiers
urn:nbn:se:smhi:diva-3923 (URN)10.1016/j.ejrh.2016.04.002 (DOI)
Available from: 2017-02-13 Created: 2017-02-13 Last updated: 2018-01-13Bibliographically approved
Pechlivanidis, I., Arheimer, B., Donnelly, C., Hundecha, Y., Huang, S., Aich, V., . . . Shi, P. (2016). Analysis of hydrological extremes at different hydro-climatic regimes under present and future conditions.. Climatic Change
Open this publication in new window or tab >>Analysis of hydrological extremes at different hydro-climatic regimes under present and future conditions.
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2016 (English)In: Climatic Change, ISSN 0165-0009, E-ISSN 1573-1480Article in journal (Refereed) Published
National Category
Oceanography, Hydrology and Water Resources
Research subject
Hydrology
Identifiers
urn:nbn:se:smhi:diva-3924 (URN)DOI 10.1007/s10584-016-1723-0 (DOI)
Available from: 2017-02-14 Created: 2017-02-14 Last updated: 2018-01-13Bibliographically approved
Pechlivanidis, I., Jackson, B., Mcmillan, H. & Gupta, H. V. (2016). Robust informational entropy-based descriptors of flow in catchment hydrology. Hydrological Sciences Journal, 61(1), 1-18
Open this publication in new window or tab >>Robust informational entropy-based descriptors of flow in catchment hydrology
2016 (English)In: Hydrological Sciences Journal, ISSN 0262-6667, E-ISSN 2150-3435, Vol. 61, no 1, p. 1-18Article in journal (Refereed) Published
Abstract [en]

This paper explores the use of entropy-based measures in catchment hydrology, and provides an importance-weighted numerical descriptor of the flow-duration curve. Although entropy theory is being applied in a wide spectrum of areas (including environmental and water resources), artefacts arising from the discrete, under-sampled and uncertain nature of hydrological data are rarely acknowledged, and have not been adequately explored. Here, we examine challenges to extracting hydrologically meaningful entropy measures from a flow signal; the effect of binning resolution on calculation of entropy is investigated, along with artefacts caused by (1) emphasis of information theoretic measures towards flow ranges having more data (statistically dominant information), and (2) effects of discharge measurement truncation errors. We introduce an importance-weighted entropy-based measure to counter the tendency of common binning approaches to over-emphasise information contained in the low flows which dominate the record. The measure uses a novel binning method, and overcomes artefacts due to data resolution and under-sampling. Our analysis reveals a fundamental problem with the extraction of information at high flows, due to the lack of statistically significant samples in this range. By separating the flow-duration curve into segments, our approach constrains the computed entropy to better respect distributional properties over the data range. When used as an objective function for model calibration, this approach constrains high flow predictions, as well as the commonly used Nash-Sutcliffe efficiency, but provides much better predictions of low flow behaviour.

National Category
Oceanography, Hydrology and Water Resources
Research subject
Hydrology
Identifiers
urn:nbn:se:smhi:diva-2054 (URN)10.1080/02626667.2014.983516 (DOI)000368714200001 ()
Available from: 2016-05-02 Created: 2016-05-02 Last updated: 2018-01-10Bibliographically approved
Nijzink, R., Hutton, C., Pechlivanidis, I., Capell, R., Arheimer, B., Freer, J., . . . Hrachowitz, M. (2016). The evolution of root-zone moisture capacities after deforestation: a step towards hydrological predictions under change?. Hydrology and Earth System Sciences, 20(12), 4775-4799
Open this publication in new window or tab >>The evolution of root-zone moisture capacities after deforestation: a step towards hydrological predictions under change?
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2016 (English)In: Hydrology and Earth System Sciences, ISSN 1027-5606, E-ISSN 1607-7938, Vol. 20, no 12, p. 4775-4799Article in journal (Refereed) Published
Abstract [en]

The core component of many hydrological systems, the moisture storage capacity available to vegetation, is impossible to observe directly at the catchment scale and is typically treated as a calibration parameter or obtained from a priori available soil characteristics combined with estimates of rooting depth. Often this parameter is considered to remain constant in time. Using long-term data (30–40 years) from three experimental catchments that underwent significant land cover change, we tested the hypotheses that: (1) the root-zone storage capacity significantly changes after deforestation, (2) changes in the root-zone storage capacity can to a large extent explain post-treatment changes to the hydrological regimes and that (3) a time-dynamic formulation of the root-zone storage can improve the performance of a hydrological model.A recently introduced method to estimate catchment-scale root-zone storage capacities based on climate data (i.e. observed rainfall and an estimate of transpiration) was used to reproduce the temporal evolution of root-zone storage capacity under change. Briefly, the maximum deficit that arises from the difference between cumulative daily precipitation and transpiration can be considered as a proxy for root-zone storage capacity. This value was compared to the value obtained from four different conceptual hydrological models that were calibrated for consecutive 2-year windows.It was found that water-balance-derived root-zone storage capacities were similar to the values obtained from calibration of the hydrological models. A sharp decline in root-zone storage capacity was observed after deforestation, followed by a gradual recovery, for two of the three catchments. Trend analysis suggested hydrological recovery periods between 5 and 13 years after deforestation. In a proof-of-concept analysis, one of the hydrological models was adapted to allow dynamically changing root-zone storage capacities, following the observed changes due to deforestation. Although the overall performance of the modified model did not considerably change, in 51 % of all the evaluated hydrological signatures, considering all three catchments, improvements were observed when adding a time-variant representation of the root-zone storage to the model.In summary, it is shown that root-zone moisture storage capacities can be highly affected by deforestation and climatic influences and that a simple method exclusively based on climate data can not only provide robust, catchment-scale estimates of this critical parameter, but also reflect its time-dynamic behaviour after deforestation.

National Category
Oceanography, Hydrology and Water Resources
Research subject
Hydrology
Identifiers
urn:nbn:se:smhi:diva-3817 (URN)10.5194/hess-20-4775-2016 (DOI)000389215600001 ()
Available from: 2017-01-10 Created: 2017-01-10 Last updated: 2018-01-13Bibliographically approved
Pechlivanidis, I., Olsson, J., Sharma, D., Bosshard, T. & Sharma, K. C. (2015). ASSESSMENT OF THE CLIMATE CHANGE IMPACTS ON THE WATER RESOURCES OF THE LUNI REGION, INDIA. GLOBAL NEST JOURNAL, 17(1), 29-40
Open this publication in new window or tab >>ASSESSMENT OF THE CLIMATE CHANGE IMPACTS ON THE WATER RESOURCES OF THE LUNI REGION, INDIA
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2015 (English)In: GLOBAL NEST JOURNAL, ISSN 1790-7632, Vol. 17, no 1, p. 29-40Article in journal (Refereed) Published
Abstract [en]

Climate change is expected to have a strong impact on water resources at the local, regional and global scales. In this study, the impact of climate change on the hydro-climatology of the Luni region, India, is investigated by comparing statistics of current and projected future fluxes resulting from three representative concentration pathways (RCP2.6, RCP4.5, and RCP8.5). The use of different scenarios allows for the estimation of uncertainty of future impacts. The projections are based on the CORDEX-South Asia framework and are bias-corrected using the DBS method before being entered into the HYPE (HYdrological Predictions for the Environment) hydrological model to generate predictions of runoff, evapotranspiration, soil moisture deficit, and applied irrigation water to soil. Overall, the high uncertainty in the climate projections is propagated in the impact model, and as a result the spatiotemporal distribution of change is subject to the climate change scenario. In general, for all scenarios, results show a -20 to +20% change in the long-term average precipitation and evapotranspiration, whereas more pronounced impacts are expected for runoff (-40 to +40% change). Climate change can also affect other hydro-climatic components, however, at a lower impact. Finally, the flow dynamics in the Luni River are substantially affected in terms of shape and magnitude.

National Category
Oceanography, Hydrology and Water Resources
Research subject
Hydrology
Identifiers
urn:nbn:se:smhi:diva-1999 (URN)000352254200004 ()
Available from: 2016-04-14 Created: 2016-03-03 Last updated: 2018-01-10Bibliographically approved
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ORCID iD: ORCID iD iconorcid.org/0000-0002-3416-317X

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