Note

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16. References

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[W16]Ward HC, Kotthaus S, Järvi L and Grimmond CSB 2016: Surface Urban Energy and Water Balance Scheme (SUEWS): development and evaluation at two UK sites. Urban Climate. 18, 1-32 doi: 10.1016/j.uclim.2016.05.001
[G91]Grimmond CSB & Oke TR (1991) An Evaporation-Interception Model for Urban Areas. Water Resour. Res. 27, 1739-1755.
[O2003]Offerle B, Grimmond CSB & Oke TR (2003) Parameterization of Net All-Wave Radiation for Urban Areas. J. Appl. Meteorol. 42, 1157-1173.
[L2011]Loridan T, CSB Grimmond, BD Offerle, DT Young, T Smith, L Järvi, F Lindberg (2011) Local-Scale Urban Meteorological Parameterization Scheme (LUMPS): longwave radiation parameterization & seasonality related developments. Journal of Applied Meteorology & Climatology 50, 185-202, doi: 10.1175/2010JAMC2474.1
[lucy]Allen L, F Lindberg, CSB Grimmond (2011) Global to city scale model for anthropogenic heat flux, International Journal of Climatology, 31, 1990-2005.
[lucy2]Lindberg F, Grimmond CSB, Nithiandamdan Y, Kotthaus S, Allen L (2013) Impact of city changes and weather on anthropogenic heat flux in Europe 1995–2015, Urban Climate,4,1-13 paper
[I11]Iamarino M, Beevers S & Grimmond CSB (2011) High-resolution (space, time) anthropogenic heat emissions: London 1970-2025. International J. of Climatology. 32, 1754-1767.
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[GO99QS]Grimmond CSB & Oke TR (1999a) Heat storage in urban areas: Local-scale observations and evaluation of a simple model. J. Appl. Meteorol. 38, 922-940.
[GO2002]Grimmond CSB & Oke TR (2002) Turbulent Heat Fluxes in Urban Areas: Observations and a Local-Scale Urban Meteorological Parameterization Scheme (LUMPS) J. Appl. Meteorol. 41, 792-810.
[AnOHM17]Sun T, Wang ZH, Oechel W & Grimmond CSB (2017) The Analytical Objective Hysteresis Model (AnOHM v1.0): Methodology to Determine Bulk Storage Heat Flux Coefficients. Geosci. Model Dev. Discuss. doi: 10.5194/gmd-2016-300.
[OGF2005]Offerle B, CSB Grimmond, K Fortuniak (2005) Heat storage & anthropogenic heat flux in relation to the energy balance of a central European city center. International J. of Climatology. 25: 1405–1419 doi: 10.1002/joc.1198
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[CG2001]Cleugh HA & Grimmond CSB (2001) Modelling regional scale surface energy exchanges and CBL growth in a heterogeneous, urban-rural landscape. Bound.-Layer Meteor. 98, 1-31.
[Shiho2015]Onomura S, Grimmond CSB, Lindberg F, Holmer B & Thorsson S (2015) Meteorological forcing data for urban outdoor thermal comfort models from a coupled convective boundary layer and surface energy balance scheme Urban Climate,11, 1-23 doi:10.1016/j.uclim.2014.11.001
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[FL2011]Lindberg F & Grimmond C (2011) The influence of vegetation and building morphology on shadow patterns and mean radiant temperature in urban areas: model development and evaluation. Theoretical and Applied Climatology 105:3, 311-323.
[Ko17]Kokkonen TV, Grimmond CSB, Räty O, Ward HC, Christen A, Oke TR, Kotthaus S & Järvi L (in review) Sensitivity of Surface Urban Energy and Water Balance Scheme (SUEWS) to downscaling of reanalysis forcing data.
[Best2014]Best MJ & Grimmond CSB (2014) Importance of initial state and atmospheric conditions for urban land surface models’ performance. Urban Climate 10: 387-406. doi: 10.1016/j.uclim.2013.10.006.
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[Re90]Reindl DT, Beckman WA and Duffie JA (1990) Diffuse fraction correlation. Sol Energy 45:1–7.
[LG2012]Loridan T and Grimmond CSB (2012) Characterization of energy flux partitioning in urban environments: links with surface seasonal properties. J. of Applied Meteorology and Climatology 51,219-241 doi: 10.1175/JAMC-D-11-038.1
[H1988]Högström U (1988) Non-dimensional wind and temperature profiles in the atmospheric surface layer: A re-evaluation. Boundary-Layer Meteorol. 42, 55–78.
[Kent2017a]Kent CW, CSB Grimmond, J Barlow, D Gatey, S Kotthaus, F Lindberg, CH Halios 2017a: Evaluation of urban local-scale aerodynamic parameters: implications for the vertical profile of wind and source areas Boundary Layer Meteorology 164,183–213 doi: 10.1007/s10546-017-0248-z
[Kent2017b]Kent CW, S Grimmond, D Gatey 2017b: Aerodynamic roughness parameters in cities: inclusion of vegetation Journal of Wind Engineering & Industrial Aerodynamics doi: 10.1016/j.jweia.2017.07.016
[S2000]Schmid HP, Grimmond CSB, Cropley F, Offerle B, Su H (2000) Measurements of CO2 and energy fluxes over a mixed hardwood forest in the mid-westerm United States. Agricultural and Forest Meteorology. 103, 357-374.
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[SL04]Sailor DJ, Lu L (2004) A top-down methodology for developing diurnal and seasonal anthropogenic heating profiles for urban areas. Atmospheric Environment. 38, 2737-2648.
[B2017]Bellucco V, Marras S, Grimmond CSB, Jarvi L, Sirca C, Spano D (2017) Modelling the biogenic CO2 exchange in urban and non-urban ecosystems through the assessment of light-response curve parameters. Agricultural and Forest Meteorology. 236, 113-122.
[FWC2002]Flanagan LB, Wever LA, Carlson PJ (2002) Seasonal and interannual variation in carbon dioxide exchange and carbon balance in a northern temperate grassland. Global Change Biology. 8, 599-615.
[J12]Järvi L, Nordbo A, Junninen H, Riikonen A, Moilanen J, Nikinmaa E, Vesala T (2012) Seasonal and annual variation of carbon dioxide surface fluxes in Helsinki, Finland, in 2006-2010. Atmos. Chem. Phys. 12, 8475-8489.
[B05]Brutsaert, W. (2005), Hydrology: an introduction, Cambridge Univ Pr, Cambridge.
[HF07]Harman IN, Finnigan JJ (2007) A simple uni ed theory for flow in the canopy and roughness sublayer. Boundary-Layer Meteorol 123(2):339–363
[HF08]Harman, IN, Finnigan, JJ (2008) Scalar concentration profiles in the canopy and roughness sublayer. Boundary-layer meteorol, 129(3), 323–351.
[T19]Theeuwes NE, Ronda RJ, Harman IN, Christen A, Grimmond CSB (2019) Parametrizing Horizontally Averaged Wind and Temperature Profiles in the Urban Roughness Sublayer. Boundary-Layer Meteorol, 173: 321. https://doi.org/10.1007/s10546-019-00472-1
[J19]Järvi, L., Havu, M., Ward, H. C., Bellucco, V., McFadden, J. P., Toivonen, T., et al. (2019). Spatial modeling of local‐scale biogenic and anthropogenic carbon dioxide emissions in Helsinki. Journal of Geophysical Research: Atmospheres, 124. https://doi.org/10.1029/2018JD029576