Biblio
Filtre: Første Bokstav I Etternavn er V [Slett Alle Filtre]
Observational needs for improving ocean and coupled reanalysis, S2S Prediction, and decadal prediction. Frontiers in Marine Science 6:391, (2019).
Observations of the urban boundary layer in a cold climate city. Urban Climate (2023).doi:10.1016/j.uclim.2022.101351
Ocean data assimilation systems for Godae. Oceanography Godae special issue feature 22, 96-109 (2009). Abstract
Last ned: 22-3_cummings.pdf (1.18 MB)
An open compute and data federation as an alternative to monolithic infrastructures for big Earth data analytics. Big Earth Data (2022).doi:10.1080/20964471.2022.2094953
Pan Eurasian Experiment (PEEX) - A research initiative meeting the grand challenges of the changing environment of the Northern Pan-Eurasian Arctic Boreal Areas. Geography, Environment, Sustainability (2014).doi:10.24057/2071-9388-2014-7-2-13-48 Last ned: lappalinen_esau_etal_2014_ges_peex_description.pdf (730.59 KB)
Pan-Eurasian Experiment (PEEX): Towards a holistic understanding of the feedbacks and interactions in the land-Atmosphere-ocean-society continuum in the northern Eurasian region. Atmospheric Chemistry and Physics (ACP) 16, (2016).
The passive transport of NOx Emissions from aircraft studies with a hierarchy of models. Atmospheric Environment 31, 1783-1799 (1997).
Perfect transmission and asymptotic solutions for reflection of ice-coupled waves by inhomogeneities. Wave Motion 44, 371–384 (2007).
REANALYSES SUITABLE FOR CHARACTERIZING LONG-TERM TRENDS Are They Really Achievable?. Bulletin of the American Meteorological Society 91, 353-+ (2010).
Reassessing changes in diurnal temperature range: A new data set and characterization of data biases. Journal of Geophysical Research (JGR): Atmospheres 121, (2016).
Recent advances on the understanding of the Northern Eurasian environments and of the urban air quality in China-Pan Eurasian Experiment (PEEX) program perspective. Atmospheric Chemistry and Physics (ACP) (2021).doi:10.5194/acp-2021-341
Recent trends and remaining challenges for optical remote sensing of Arctic tundra vegetation: A review and outlook. Remote Sensing of Environment 246, (2020).
Reference Quality Upper-Air Measurements: guidance for developing GRUAN data products. Atmospheric Measurement Techniques 3, 1217-1231 (2010).
Reference upper-air observations for climate: From concept to reality. Bulletin of The American Meteorological Society - (BAMS) (2015).doi:10.1175/BAMS-D-14-00072.1
REFERENCE UPPER-AIR OBSERVATIONS FOR CLIMATE Rationale, Progress, and Plans. Bulletin of the American Meteorological Society 90, 361-+ (2009).
Response of the Arabian Sea to global warming and associated regional climate shift. Marine Environmental Research 68, 217 - 222 (2009).
Review and assessment of latent and sensible heat flux accuracy over the global oceans. Remote Sensing of Environment 201, (2017).
Seasonal predictability of Kiremt rainfall in coupled general circulation models. Environmental Research Letters 12, (2017).
SEASTAR: A Mission to Study Ocean Submesoscale Dynamics and Small-Scale Atmosphere-Ocean Processes in Coastal, Shelf and Polar Seas. Frontiers in Marine Science 6, (2019).
Short time augmented extended Kalman filter for soil analysis: a feasibility study. Atmospheric Science Letters 13, 268 - 274 (2012).
Simulating the mass balance and salinity of Arctic and Antarctic sea ice. 1. Model description and validation. Ocean Modelling 27, 33 - 53 (2009).
A singular evolutive extended Kalman filter to assimilate ocean color data in a coupled physical-biochemical model of the Noth Atlantic ocean. Ocean Modelling 167-192 (2001). Last ned: car01a.pdf (2.53 MB)
Spatial structure and temporal variability of a surface urban heat island in cold continental climate. Theoretical and Applied Climatology 137, (2019). Abstract
State and parameter estimation with the extended Kalman filter: an alternative formulation of the model error dynamics. Quarterly Journal of the Royal Meteorological Society 137, 435 - 451 (2011).
