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Krzyszczak Jaromir

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Krzyszczak Jaromir

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PhD Krzyszczak Jaromir
Room: 208
E-mail: j.krzyszczak@ipan.lublin.pl
Phone: (81) 744 50 61 w. 198

Department and laboratory

Department: Department of Metrology and Modelling of Agrophysical Processes

Publications

  1. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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
  10. 2020, Anthropogenic Factors Affecting the Vegetation Dynamics in the Arid Middle East, Preprints, 2020100208; DOI: 10.20944/preprints202010.0208.v1
  11. 2019, Multifractal characterization and comparison of meteorological time series from two climatic zones, Theoretical and Applied Climatology, DOI: 0.1007/s00704-018-2705-0
  12. 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
  13. 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
  14. 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
  15. 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
  16. 2019, Mineral nitrogen content in hydrographic areas of Poland depending on land use, International Agrophysics, 33, str. 481-491, DOI: 10.31545/intagr/112023
  17. 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
  18. 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
  19. 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.,
  20. 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,
  21. 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.,
  22. 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,
  23. 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.,
  24. 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 ,
  25. 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,
  26. 2018, Classifying multi-model wheat yield impact response surfaces showing sensitivity to temperature and precipitation change, Agricultural Systems, 159: 209-224
  27. 2018, Adaptation response surfaces for managing wheat under perturbed climate and CO2 in a Mediterranean environment, Agricultural Systems, 159: 260-274
  28. 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
  29. 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
  30. 2018, Forecasting daily meteorological time series using ARIMA and regression models, International Agrophysics, 32: 253-264
  31. 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
  32. 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
  33. 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
  34. 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
  35. 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
  36. 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
  37. 2018, Problemy techniczne związane z montażem oprzyrządowania pomiarowego na wiatrakowcu., Low Altitude Remote Sensing Seminar (LARSS), Lublin, 10-11.05.2018,
  38. 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
  39. 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
  40. 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
  41. 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
  42. 2017, Temporal scale influence on multifractal properties of agro-meteorological time series, Agricultural and Forest Meteorology, 239: 223-235
  43. 2017, Temporal properties of spatially aggregated meteorological time series, Agricultural and Forest Meteorology, 234: 247-257
  44. 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
  45. 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.,
  46. 2017, Relationship between assimilable-nutrient content and physicochemical properties of topsoil, International Agrophysics, 31(4): 551-562
  47. 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
  48. 2017, Multifraktalność meteorologicznych szeregów czasowych dla Polski z bazy Nasa Merra II, III Kuźnia Młodych Talentów, Jabłonna 27-30.09.2017, str. 28
  49. 2017, Scaling properties of meteorological time series for Poland from MERRA II, 10th Geosymposium for Young Researchers, Zabrze, 21-23.09.2017, str. 20
  50. 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
  51. 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
  52. 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
  53. 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
  54. 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,
  55. 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,
  56. 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,
  57. 2017, Spatial analysis of multifractal spectra of the MERRA II meteorological time series, MACSUR Science Conference, Berlin, Germany 22-24.05.2017,
  58. 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,
  59. 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,
  60. 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,
  61. 2017, Modelling nitrous oxide emissions of high input maize crop systems, MACSUR Science Conference, Berlin, Germany 22-24.05.2017,
  62. 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
  63. 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
  64. 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
  65. 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,
  66. 2016, Evaluation of soil reaction and content of assimilable nutrients in soils of South-Eastern Poland, Acta Agrophysica, 23(2): 249-260
  67. 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
  68. 2015, Pomiary emisji gazów cieplarnianych w projekcie LCAgri, 2015
  69. 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
  70. 2015, Multifractal analysis of meteorological time series to assess climate impacts., Climate Research, 6539-52
  71. 2015, Multifractal analysis of meteorological time series to assess climate impact on chosen regions of Europe., 2015, 17-17
  72. 2015, What is a stronger determinant of soil respiration: soil temperature or moisture?, 2015, 19-19
  73. 2014, Multifractal analysis of chosen meteorological time series to assess climate impact in field level., 2014, 59-59
  74. 2014, Field experiment in Lubelskie region to validate crop growth models in temperate climate., 2014, 61-61
  75. 2014, CO2 flux measurements in the vegetation period of winter wheat in Lubelskie Province., 2014, 20-20
  76. 2014, Self-similarity analysis of chosen agro-meteorological time series., 2014, 3
  77. 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
  78. 2014, Effect of Time-Domain Reflectrometry probe location on soil moisture measurement during wetting and drying processes., Measurement, 2014, 49182-186
  79. 2014, Gleba jako układ termodynamiczny., AGROFIZYKA procesy, właściwości, metody, 28-31
  80. 2014, Układ gleba-roślina-atmosfera jako kontinuum., AGROFIZYKA procesy, właściwości, metody, 81-88
  81. 2014, Modelowanie procesów fizycznych zachodzących w środowisku glebowym., AGROFIZYKA procesy, właściwości, metody, 210-212
  82. 2013, Soil Water Dynamic Modeling Using the Physical and Support Vector Machine Methods, Vadose Zone Journal, 2013, doi:10.2136/vzj2013.05.0085
  83. 2013, Modelling soil water dynamics using the physical and soft-computing methods, 2013, 49-49
  84. 2013, TDR probes location impact on the soil moisture measurement, 2013, 102-102
  85. 2012, Zastosowanie modeli – HYDRUS-1D oraz SVM, do przewidywania wilgotności gleby, 2012, 64-65
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