Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Chibuike, Onwukwe"'
Publikováno v:
Meteorological Applications, Vol 29, Iss 1, Pp n/a-n/a (2022)
Abstract Environmental modelling of remote areas requires dynamical downscaling of meteorological data to obtain precipitation values that could substitute for sparse in‐situ observations. This study examined numerical simulations of precipitation
Externí odkaz:
https://doaj.org/article/51727f61a9b3440e9258993ba0705bc1
Autor:
Chibuike Onwukwe, Peter L. Jackson
Publikováno v:
Journal of the Air & Waste Management Association. 71:156-169
Chemical transport models (CTM) can have large biases and errors when simulating pollutant concentrations. To improve the characterization of fine particulate matter (PM2.5) over complex terrain fo...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6fa3e1f49ce142b9a2b963a155b0f1c4
https://doi.org/10.1080/10962247.2020.1844342
https://doi.org/10.1080/10962247.2020.1844342
Autor:
Peter L. Jackson, Chibuike Onwukwe
Publikováno v:
Atmospheric Pollution Research. 12:231-244
Computational tools used to implement the critical-load approach of atmospheric deposition impact often do not elucidate modeling uncertainty making it difficult for environmental policy-makers to know how much confidence to put in its results, also
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f04f5dbb95f4d455040ec6b0d3287c25
https://doi.org/10.1016/j.apr.2020.09.014
https://doi.org/10.1016/j.apr.2020.09.014
Autor:
Peter L. Jackson, Chibuike Onwukwe
Publikováno v:
Journal of Applied Meteorology and Climatology. 59:1295-1319
Evaluation of downscaled meteorological information is crucial to identifying model behaviors that may propagate to end applications such as the simulation of local air quality. This study conducted and assessed yearlong simulations of hourly meteoro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1d0e6e248284d5823aa540b518506185
https://doi.org/10.1175/jamc-d-19-0212.1
https://doi.org/10.1175/jamc-d-19-0212.1
Autor:
Chibuike, Onwukwe, Peter L, Jackson
Publikováno v:
Journal of the AirWaste Management Association (1995). 71(2)
Chemical transport models (CTM) can have large biases and errors when simulating pollutant concentrations. To improve the characterization of fine particulate matter (PM
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::a176ca94c721fa1b5f1f3e6289365494
https://pubmed.ncbi.nlm.nih.gov/33119434
https://pubmed.ncbi.nlm.nih.gov/33119434
Autor:
Chibuike Onwukwe, Peter L. Jackson
Publikováno v:
Atmospheric Environment. 233:117607
Three-dimensional chemical transport models are useful for spatial and temporal analyses of outdoor air quality. However, the suitability of boundary-layer parameterizations for air pollution modeling over deep, coastal valleys has seldom been tested
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::46da5da59af168dcdc2790025646a7fa
https://doi.org/10.1016/j.atmosenv.2020.117607
https://doi.org/10.1016/j.atmosenv.2020.117607
Autor:
Chibuike Onwukwe, Jackson, Peter L.
Chemical transport models (CTM) can have large biases and errors when simulating pollutant concentrations. To improve the characterization of fine particulate matter (PM2.5) over complex terrain for exposure assessments, three mathematical formulae t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4b2df4eb5edfd709c0feb46e0e035ddc
Autor:
Chibuike Onwukwe, Jackson, Peter L.
Chemical transport models (CTM) can have large biases and errors when simulating pollutant concentrations. To improve the characterization of fine particulate matter (PM2.5) over complex terrain for exposure assessments, three mathematical formulae t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::49ce5ecc5c3907561522f4f353cf34e5