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Krzyszczak Jaromir

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Krzyszczak Jaromir

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PhD Krzyszczak Jaromir
Room: 208
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Phone: (81) 744 50 61 w. 198

Department and laboratory

Department: Department of Metrology and Modelling of Agrophysical Processes

Publications

  1. 2023, Identification of Patterns and Relationships of Jet Stream Position with Flood-Prone Precipitation in Iran during 2006–2019, Atmosphere 2023, https://doi.org/, 14(2), 351; DOI: 10.3390/atmos14020351
  2. 2023, A remotely sensed study of the impact of meteorological parameters on vegetation for the eastern basins of Afghanistan, Earth Science Informatics, DOI: 10.1007/s12145-023-00965-1
  3. 2023, Climatic variables impact on inland lakes water levels and area fluctuations in an arid/semi-arid region of Iran, Iraq, and Turkey based on the remote sensing data, Earth Science Informatics, DOI: 10.1007/s12145-023-00995-9
  4. 2023, Investigation and Prediction of the Land Use/Land Cover (LU/LC) and Land Surface Temperature (LST) Changes for Mashhad City in Iran during 1990–2030, Atmosphere, 14(4), 741, DOI: 10.3390/atmos14040741
  5. 2022, Anthropogenic Factors Affecting the Vegetation Dynamics in the Arid Middle East, Environmental and Climate Technologies , 26(1): 774-805; DOI: 10.2478/rtuect-2022-0060
  6. 2022, Assessing the Role of the Young Farmer Scheme in the Export Orientation of Greek Agriculture, Sustainability, 4, 3287, str 1-13, DOI:10.3390/su14063287
  7. 2022, Investigation of the Vegetation Coverage Dynamics and its Relation to Atmospheric Patterns in Kabul River Basin in Afghanistan, Pure and Applied Geophysics, DOI: 10.1007/s00024-022-03044-6
  8. 2022, Spatial and Temporal Assessment of Remotely Sensed Land Surface Temperature Variability in Afghanistan during 2000–2021, Climate, 10,111, str. 1-19, DOI: 10.3390/cli10070111
  9. 2022, Analysis of the recent trends in vegetation dynamics and its relationship with climatological factors using remote sensing data for Caspian Sea watersheds in Iran, International Agrophysics, 36, str. 139-153, DOI: 10.31545/intagr/150020
  10. 2022, Application of hyperspectral imaging for estimation of potassium content across different plant specties, 12th EARSeLO Workshop on Imaging Spectroscopy 22.06.2022, Poczdam, Niemcy,
  11. 2022, Estimation of plant nutrient status based on hyperspectral data and machine learning, ISCREAS 2022, 28-31.08.2022, Dublin, Irlandia,
  12. 2022, Obrazowanie hiperspektralne w identyfikacji niedoboru makroelementów w roślinach, XXV Konferencja "Nowoczesne Metody w Analizie Sladowej", 12-13.12.2022, Łódź, Polska,
  13. 2021, Dynamics of meteorological time series on the base of ground measurements and retrospective data from MERRA ‐2 for Poland, International Journal of Climatology, DOI: 10.1002/joc.6787
  14. 2021, Identification of plant leaf phosphorus content at different growth stages based on hyperspectral reflectance, BMC Plant Biology, 21,28, str 1-17, DOI: 10.1186/s12870-020-02807-4
  15. 2021, Dynamics of Daytime Land Surface Temperature (LST) Variabilities in the Middle East Countries During 2001–2018, Pure and Applied Geophysics, 178: 2357–2377; DOI: 10.1007/s00024-021-02765-4
  16. 2021, Investigation of Atmospheric Conditions Associated with a Storm Surge in the South-West of Iran, Atmosphere, 12, 1429, str 1-15, DOI: 10.3390/atmos12111429
  17. 2021, Biophysical modules in the agent based policy models, 13th International Conference on Agrophysics: Agriculture in changing climate 15-16 November 2021, Lublin, Poland, str. 76
  18. 2020, Combined TBATS and SVM model of minimum and maximum air temperatures applied to wheat yield prediction at different locations in Europe, Agricultural and Forest Meteorology, 281(107827), str 1-19, DOI: 10.1016/j.agrformet.2019.107827
  19. 2020, The history of rainfall data time-resolution in a wide variety of geographical areas, Journal of Hydrology, 590: 125258; DOI: 10.1016/j.jhydrol.2020.125258
  20. 2020, Climate change impact evaluation in various regions in Europe on the base of ensemble modelling, Konferencja EGU General Assembly 2020: 4-8.05.2020, Wiedeń, Austria, EGU2020-18052
  21. 2020, Modeling of air temperatures using a combination of TBATS and SVM models for various climatic locations in Europe, Konferencja EGU General Assembly 2020: 4-8.05.2020, Wiedeń, Austria, EGU2020-22227
  22. 2020, Multifractal Cross Correlation Analysis of Agro-Meteorological Datasets (Including Reference Evapotranspiration) of California, United States, Atmosphere, 11,1116, str 1-24, DOI: 10.3390/atmos11101116
  23. 2019, Multifractal characterization and comparison of meteorological time series from two climatic zones, Theoretical and Applied Climatology, DOI: 0.1007/s00704-018-2705-0
  24. 2019, Implications of crop model ensemble size and composition for estimates of adaptation effects and agreement of recommendations, Agricultural and Forest Meteorology, 264, str. 351-362, DOI: 10.1016/j.agrformet.2018.09.018
  25. 2019, The relationship between mineral nitrogen content and soil pH in grassland and fodder crop soils, Applied Ecology and Environmental Research, 17(1), str. 107-121, DOI: 10.15666/aeer/1701_107121
  26. 2019, Multifractal characterization and comparison of meteorological timeseries from two climatic zones, Theoretical and Applied Climatology, 137, str. 1811-1824, DOI: 10.1007/s00704-018-2705-0
  27. 2019, Multifractality of meteorological time series for Poland on the base of MERRA-2 data, Chaos, Solitons & Fractals, 127, str. 318-333, DOI: 10.1016/j.chaos.2019.07.008
  28. 2019, Mineral nitrogen content in hydrographic areas of Poland depending on land use, International Agrophysics, 33, str. 481-491, DOI: 10.31545/intagr/112023
  29. 2019, Mineral nitrogen content in soils depending on land use and agronomic category, Applied Ecology and Environmental Research, 17(3), str. 5663-5675, DOI: 10.15666/aeer/1703_56635675
  30. 2019, Zastosowanie modelu SVM/TBATS do prognozowania minimalnej i maksymalnej temperatury powietrza w kontekście rolniczym, II Konferencja Doktorantów „Cztery Żywioły – Wpółczesne Problemy w Naukach o Życiu”, Lublin, 24.10.2019 r., str. 7
  31. 2019, Impact response surfaces (irs) & adaptation surfaces (ars): a mothodology for evaluation strategies under climate change, 2nd International Conference "Agrophysics Trends: from actual challenges in arable farming and crop production towards advanced technologies", Saint Petersburg, Russian Federation, 2-4.10.2019 r.,
  32. 2019, Zastosowanie metody MF-DFA do porównania szeregów czasowych wybranych elementów meteorologicznych ze stacji synoptycznych IMGW-PIB i bazy NASA MERRA-2, Ogólnopolska Konferencja Naukowa z okazji 50-lecia Zakładu Klimatologii pt.: ,,Zmienność klimatu Polski i Europy oraz jej cyrkulacyjne uwarunkowania", Poznań, Polska, 21-23.10.2019 r,
  33. 2019, Badania stężeń gazów cieplarnianych nad polami uprawnymi z pułapu wiatrakowca z wykorzystaniem analizatora Picarro, XXIV Konferencja Nowoczesne Metody Instrumentalne w Analizie Śladowej, Politechnika Łódzka, Łódź, Polska, 2-3.12.2019 r.,
  34. 2019, Wyniki projektu GYROSCAN w kontekście możliwości wykorzystania w rolnictwie precyzyjnym, Konferencja „Rolnictwo 4.0. Start nowej ery“, Kamień Śląski k. Opola 27.01-29.01.2020,
  35. 2019, Monitorowanie stanu upraw z wykorzystaniem teledetekcyjnego systemu wiatrakowca, XXVI Konferencja Naukowa "Postęp Naukowo-Techniczny i Organizacyjny w Rolnictwie", Zakopane 4-8.02.2019 r.,
  36. 2019, Impact Response Surfaces (IRS) & Adaptation Response Surfaces (ARS): A methodology for evaluating adaptation strategies under climate change, 2nd International Conference ''Agrophysics Trends: from actual challenges in arable farming and crop growing towards advanced technologies” devoted to the 90th Anniversary of Academician Eugene Ermakov”, Sankt Petersburg, Rosja, 2-4.10.2019 ,
  37. 2019, The use of mixed TBATS and SVM model to forecast the minimum and maximum air temperature for various climatic locations in Europe in the agricultural context, 2nd International Conference ''Agrophysics Trends: from actual challenges in arable farming and crop growing towards advanced technologies” devoted to the 90th Anniversary of Academician Eugene Ermakov”, Sankt Petersburg, Rosja, 2-4.10.2019,
  38. 2018, Classifying multi-model wheat yield impact response surfaces showing sensitivity to temperature and precipitation change, Agricultural Systems, 159: 209-224
  39. 2018, Adaptation response surfaces for managing wheat under perturbed climate and CO2 in a Mediterranean environment, Agricultural Systems, 159: 260-274
  40. 2018, Scaling properties of meteorogical time series for Poland based on data from MERRA-2, 7th International Young Scientists Conference, Rzeszów 4-5.06.2018 r., str. 28
  41. 2018, Zastosowanie modeli TBATS i SVM do prognozowania minimalnej i maksymalnej temperatury powietrza na podstawie meteorologicznych szeregów czasowych, W: "Nauka i przemysł - lubelskie spotkania studenckie", Praca zbiorowa, Red. Dorota Kołodyńska; Wyd. UMCS w Lublinie; ISBN 978-83-945225-5-1, str. 182-183
  42. 2018, Forecasting daily meteorological time series using ARIMA and regression models, International Agrophysics, 32: 253-264
  43. 2018, Forecasting Minimum and Maximum Air Temperature Using Combined TBATS and SVM Methods, 17th International Workshop for Young Scientists „BioPhys Spring 2018”, Nitra, Slovakia 15-18.05.2018 r., str. 26
  44. 2018, Spatio-temporal properties of meteorological time series for Poland from NASA MERRA-2, 12th International Conference on Agrophysics: Soil, Plant & Climate, Lublin 17-19.09.2018 r., str. 52
  45. 2018, Assimilable nutrient content correlation with physicochemical properties of soil, 12th International Conference on Agrophysics: Soil, Plant & Climate, Lublin 17-19.09.2018 r., str. 96
  46. 2018, Minimum and maximum air temperatures modelling with TBATS and SVM for various climatic localizations in Europe, 12th International Conference on Agrophysics: Soil, Plant & Climate, Lublin 17-19.09.2018 r., str. 171
  47. 2018, Comparison of meteorological time series derived from NASA MERRA-2 and synoptic stations, 12th International Conference on Agrophysics: Soil, Plant & Climate, Lublin 17-19.09.2018 r., str. 172
  48. 2018, Porównanie meteorologicznych szeregów czasowych pochodzących z bazy nasa merra-2 i stacji naziemnych, Konferencja Doktorantów pt. „Cztery Żywioły – współczesne problemy w naukach o życiu”, Warszawa 25.10.2018 r., str. 15
  49. 2018, Problemy techniczne związane z montażem oprzyrządowania pomiarowego na wiatrakowcu., Low Altitude Remote Sensing Seminar (LARSS), Lublin, 10-11.05.2018,
  50. 2018, The effect of some soil physicochemical properties and nitrogen fertilisation on winter wheat yield / Wpływ niektórych właściwości fizykochemicznych gleby oraz nawożenia azotem na plonowanie pszenicy ozimej, Acta Agrophysica, 25(1): 107-116
  51. 2018, Mineral nitrogen content in the 60-90 cm layer of grassland soils relative to other fodder crops, way of managing agricultural lands and farming intensity / Zawartość azotu mineralnego w warstwie 60-90 cm gleb użytków zielonych na tle innych upraw o przeznaczeniu paszowym, sposobów zagospodarowania użytków rolnych oraz intensywności gospodarowania, Acta Agrophysica, 25(3): 343-357
  52. 2018, Content of certain macro- and microelements in orchard soils in relation to agronomic categories and reaction of these soils, Journal of Elementology, 23(4): 1361-1372
  53. 2018, Wpływ nawożenia na zawartość azotu mineralnego w glebach użytków zielonych i upraw rolniczych o przeznaczeniu paszowym / The impact of fertilization on the mineral nitrogen content in grassland and fodder crop soils, Przemysł Chemiczny, 97(11): 1899-1905
  54. 2017, Temporal scale influence on multifractal properties of agro-meteorological time series, Agricultural and Forest Meteorology, 239: 223-235
  55. 2017, Temporal properties of spatially aggregated meteorological time series, Agricultural and Forest Meteorology, 234: 247-257
  56. 2017, Forecasting of meteorological time series using combined tbats and svm methods, 16th International Workshop for Young Scientists „BioPhys Spring 2017”, Lublin, Poland, 1-3.06.2017, str. 45-46
  57. 2017, Multifraktalność agro-meteorologicznych szeregów czasowych dla polski na podstawie danych NASA MERRA II, V Ogólnopolskie Sympozjum "Nauka i przemysł - lubelskie spotkania studenckie", Lublin 20.06.2017 r.,
  58. 2017, Relationship between assimilable-nutrient content and physicochemical properties of topsoil, International Agrophysics, 31(4): 551-562
  59. 2017, Prognozowanie temperatury powietrza na podstawie meteorologicznych szeregów czasowych z wykorzystaniem modeli TBATS i SVM, X Sympozjum Doktorantów "Współczesne Problemy w Naukach o Życiu", Lublin, 26.10.2017, str. 10
  60. 2017, Multifraktalność meteorologicznych szeregów czasowych dla Polski z bazy Nasa Merra II, III Kuźnia Młodych Talentów, Jabłonna 27-30.09.2017, str. 28
  61. 2017, Scaling properties of meteorological time series for Poland from MERRA II, 10th Geosymposium for Young Researchers, Zabrze, 21-23.09.2017, str. 20
  62. 2017, Multifraktalność meteorologicznych szeregów czasowych dla Polski z bazy Nasa Merra II dla Polski, Ogólnopolska Konferencja Doktorantów i Młodych Naukowców pt. "Adaptacja do zmian klimatu w rolnictwie" na 25-lecie Studiów Doktorankich w IUNG-PIB, 14-15.09.2017 r., str. 21
  63. 2017, Relation of mineral nitrogen and sulphate sulphur content in soil to certain soil properties and applied cultivation treatments, Acta Agrophysica , 24(3): 523-534
  64. 2017, Analysis of Climate Dynamics Across a European Transect Using a Multifractal Method, Advances in Time Series Analysis and Forecasting. Selected Contributions from ITISE 2016 (Eds. Ignacio Rojas, Héctor Pomare, Olga Valenzuela). Springer International Publishing, str. 103-116
  65. 2017, GHG mapping over cultivated fields in ground and aerial measurements – project assumption, Conference "Degradation and Revitalization of Soil and Landscape" (Soil Science Days 2017), Olomouc, Czech Republic 10-13.09.2017, str. 82
  66. 2017, Probabilistic assessment of adaptation options from an ensemble of crop models: a case study in the Mediterranean, MACSUR Science Conference, Berlin, Germany 22-24.05.2017,
  67. 2017, Analysis of a crop models ensemble response to adaptation measures under climate change using ARS, 3rd International Conference on Global Food Security, Cape Town, South Africa 3-6.12.2017,
  68. 2017, Analiza reakcji modeli wzrostu i plonowania roślin na zabiegi adaptacyjne w kontekście zmian klimatu przy wykorzystaniu ARS, XXXVIII Ogólnopolski Zjazd Agrometeorologów i Klimatologów pt. "Innowacje na rzecz adaptacji wobec zmian klimatu", Puławy 18-20.09.2017,
  69. 2017, Spatial analysis of multifractal spectra of the MERRA II meteorological time series, MACSUR Science Conference, Berlin, Germany 22-24.05.2017,
  70. 2017, Effect of changing size and composition of a crop model ensemble on impact and adaptation response surfaces, MACSUR Science Conference, Berlin, Germany 22-24.05.2017,
  71. 2017, Probabilistic assessment of adaptation options from an ensemble of crop models: a case study in the Mediterranean, International Conference "Impacts World 2017", Potsdam, Germany 11-13.10.2017,
  72. 2017, Support of precision agriculture with an ecosystem monitoring system from gyrocopter platform, 3rd International Conference on Global Food Security, Cape Town, South Africa 3-6.12.2017,
  73. 2017, Modelling nitrous oxide emissions of high input maize crop systems, MACSUR Science Conference, Berlin, Germany 22-24.05.2017,
  74. 2017, Przestrzenna analiza spektrum multifraktalnego wielkości meteorologicznych pochodzących z MERRA II, XXXVIII Ogólnopolski Zjazd Agrometeorologów i Klimatologów pt. "Innowacje na rzecz adaptacji wobec zmian klimatu", Puławy 18-20.09.2017, str. 9
  75. 2017, Modelowanie emisji N2O na poziomie pola w różnych reżimach uprawy i nawożenia, XXXVIII Ogólnopolski Zjazd Agrometeorologów i Klimatologów pt. "Innowacje na rzecz adaptacji wobec zmian klimatu", Puławy 18-20.09.2017, str. 133
  76. 2017, Metodyka pomiaru i modelowania emisji N2O, XXXVIII Ogólnopolski Zjazd Agrometeorologów i Klimatologów pt. "Innowacje na rzecz adaptacji wobec zmian klimatu", Puławy 18-20.09.2017, str. 131
  77. 2017, A methodology for probabilistic assessment of adaptation strategies: a case study in the Mediterranean, The joint meeting of Italian Society of Agronomy and Italian Association of Agrometeorology, Mediolan, Włochy 12-14.09.2017,
  78. 2016, Evaluation of soil reaction and content of assimilable nutrients in soils of South-Eastern Poland, Acta Agrophysica, 23(2): 249-260
  79. 2016, Modelling climate change impact on crop production, Book of abstracts. 15th International Workshop for Young Scientists, BioPhys Spring 2016, May 5-6, 2016, Prague, Czech Republic, 12-13
  80. 2015, Pomiary emisji gazów cieplarnianych w projekcie LCAgri, 2015
  81. 2015, Temperature and precipitation effects on wheat yield across a European transect: a crop model ensemble analysis using impact response surfaces., Climate Research, 65: 87-105
  82. 2015, Multifractal analysis of meteorological time series to assess climate impacts., Climate Research, 6539-52
  83. 2015, Multifractal analysis of meteorological time series to assess climate impact on chosen regions of Europe., 2015, 17-17
  84. 2015, What is a stronger determinant of soil respiration: soil temperature or moisture?, 2015, 19-19
  85. 2014, Multifractal analysis of chosen meteorological time series to assess climate impact in field level., 2014, 59-59
  86. 2014, Field experiment in Lubelskie region to validate crop growth models in temperate climate., 2014, 61-61
  87. 2014, CO2 flux measurements in the vegetation period of winter wheat in Lubelskie Province., 2014, 20-20
  88. 2014, Self-similarity analysis of chosen agro-meteorological time series., 2014, 3
  89. 2014, Evaluation of nutrients supply in apple trees cultivated in Lubelskie Region / Ocena zaopatrzenia w makro-i mikroelementy jabłoni uprawianych na Lubelszczyźnie., Acta Agrophysica, 2014, 21(4): 507-515
  90. 2014, Effect of Time-Domain Reflectrometry probe location on soil moisture measurement during wetting and drying processes., Measurement, 2014, 49182-186
  91. 2014, Gleba jako układ termodynamiczny., AGROFIZYKA procesy, właściwości, metody, 28-31
  92. 2014, Układ gleba-roślina-atmosfera jako kontinuum., AGROFIZYKA procesy, właściwości, metody, 81-88
  93. 2014, Modelowanie procesów fizycznych zachodzących w środowisku glebowym., AGROFIZYKA procesy, właściwości, metody, 210-212
  94. 2013, Soil Water Dynamic Modeling Using the Physical and Support Vector Machine Methods, Vadose Zone Journal, 2013, doi:10.2136/vzj2013.05.0085
  95. 2013, Modelling soil water dynamics using the physical and soft-computing methods, 2013, 49-49
  96. 2013, TDR probes location impact on the soil moisture measurement, 2013, 102-102
  97. 2012, Zastosowanie modeli – HYDRUS-1D oraz SVM, do przewidywania wilgotności gleby, 2012, 64-65
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