1 / 28

Enhancing Phenology Modeling in TERRA Land Scheme of COSMO Model

Explore two temperature-based phenology approaches for enhanced modeling in the TERRA land scheme of the COSMO atmospheric model. Improvements in simulating plant life cycles and inter-annual variability are discussed.

nrosenbaum
Download Presentation

Enhancing Phenology Modeling in TERRA Land Scheme of COSMO Model

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. A newleafphenologyforthelandsurfacescheme TERRA ofthe COSMO atmosphericmodel Jan-Peter Schulz1,3,*, Gerd Vogel2, Bodo Ahrens3, Reto Stöckli4and Jean-Marie Bettems4 1Biodiversity andClimate Research Centre (BiK-F), Frankfurt, Germany 2Deutscher Wetterdienst, Lindenberg, Germany 3Goethe University Frankfurt, Germany 4MeteoSwiss, Zürich, Switzerland *Affiliation now: Deutscher Wetterdienst, Offenbach, Germany COSMO Phenology Workshop, 7 Jul. 2015, Zürich 7 Jul. 2015

  2. Whatisphenology? Phenology is the study of periodic plant and animal life cycle events and how these are influenced by seasonal and inter-annual variations in climate, as well as habitat factors (such as elevation). Wikipedia, 4 Mar. 2014 7 Jul. 2015

  3. Phenologyisgoverned, or limited, by: • Temperature • Day length • Water availability • NPP (net primary productivity) Twoapproachesforphenology not depending on NPP adoptedfrom: • Polcher, J. (1994), Thèse de doctorat, Univ. Pierre et Marie Curie, Paris • Knorr, W., et al. (2010), J. Geophys. Res., 115, G04017 7 Jul. 2015

  4. Land surfacescheme TERRA • Layersfortemperatureand • soilwatercontent • Experiments: • UseatmosphericforcingtorunTERRA in offline mode • Here, observedforcingfrom DWD observatory Lindenberg isused (Falkenberg site) Heise et al. (2006) 7 Jul. 2015

  5. Phenologydeterminingtemperature This isequivalentto an exponentiallydecliningmemoryoftheplantsforthesurfacetemperatureTS. istheaveragingperiodforTS. 5 7 Jul. 2015

  6. Phenology as function of temperaturebased on Polcher (1994) T1 : minimumlimitingtemperatureT2 : maximumlimitingtemperatureLAImin , LAImax : minimumandmaximumvalueof LAI 6 7 Jul. 2015

  7. Inter-annualvariabilityat Lindenberg 7 7 Jul. 2015

  8. 8 7 Jul. 2015

  9. Phenology as function of temperaturebased on Knorr et al. (2010) Ton/off : leafonsetandoffsettemperaturekgrow , kshed : growth rate andshedding rateLAImax , LAImin : maximumandminimumvalueof LAI 9 7 Jul. 2015

  10. 10 7 Jul. 2015

  11. 11 7 Jul. 2015

  12. 7 Jul. 2015

  13. 7 Jul. 2015

  14. 7 Jul. 2015

  15. C3 grassStress functions: Temperatureonly 7 Jul. 2015

  16. C3 grassStress functions: Temperature, daylength, vapourpressuredeficit 7 Jul. 2015

  17. C4 grassStress functions: Temperatureonly 7 Jul. 2015

  18. C4 grassStress functions: Temperature, daylength, vapourpressuredeficit 7 Jul. 2015

  19. C3 and C4 grass in 2007Stress functions: Temperature, daylength, vapourpressuredeficit 7 Jul. 2015

  20. C3 grass in 2007Stress functions: Individual behaviourandtheirproduct 7 Jul. 2015

  21. C4 grass in 2007Stress functions: Individual behaviourandtheirproduct 7 Jul. 2015

  22. C3 grasstunedfor FalkenbergStress functions: Temperature C3, daylength C4, vapourpressuredeficit 7,C4 7 Jul. 2015

  23. Stöckli: C3 grass in 2007Stress functions: Temperatureonly 7 Jul. 2015

  24. 7 Jul. 2015

  25. C4 grass (original) at Toulouse in 2007Stress functions: Individual behaviourandtheirproduct 7 Jul. 2015

  26. C3 grass (original) at Sodankylä in 2007Stress functions: Individual behaviourandtheirproduct 7 Jul. 2015

  27. Conclusions • Withthecurrentparameterization TERRA can not accountforthe inter-annualvariabilityofthephenology. • Twoapproachesbased on Polcher (1994) and Knorr et al. (2010) forsimulatingtheseasonalcycleofphenologyasfunctionoftemperaturewereimplemented. • The firstoneimprovesthesimulations, thesecondoneevengetsveryclosetotheobservationsof latent heatflux. • The approachby Knorr et al. (2010) appearstobefavourable due totheuseoftheconceptofgrowthandsheddingrates. • The nextstepsaretheextensionoftheschemetomorevegetationtypes,e.g. trees (deciduousandevergreen), andtheimplementationintothethree-dimensional coupledmodelcode. 7 Jul. 2015

  28. Conclusions • Withthecurrentparameterization TERRA can not accountforthe inter-annualvariabilityofthephenology. • Twoapproachesbased on Polcher (1994) and Knorr et al. (2010) forsimulatingtheseasonalcycleofphenologyasfunctionoftemperaturewereimplemented. • In addition, theapproachby Stöckli et al. (2008, 2011) was implemented, whichincludes stress functionsoftemperature, but also ofdaylengthandwateravailability. Itcombinestheconceptsofthresholdvalues (Polcher 1994) andofgrowthanddecayrates (Knorr et al. 2010). • The scheme was tested at three different sites. Withsometuninginvolvedthesitespecificbehaviourcanbewelldescribed. • The nextstepsaretheinclusionofthefull 35 plant functionaltypes, andtheimplementationintothethree-dimensional coupledmodelcode. 7 Jul. 2015

More Related