引用次数
引用: 4,610
H-指数: 30
I10-指数 : 37
出版物: 74
Calibration of Relative Humidity Sensors using a Dew Point Generator
Milo Brooks
NERC/Centre for Ecology & Hydrology
2010
Propagation of global model uncertainties in aerosol forecasting: A field practitioner's opinion
T. T. Sekiyama , R. Holz , A. Bozzo , A. Benedetti
AGUFM 2015
2015
The CLouds-Aerosol-Radiation Interaction and Forcing: Year 2017 (CLARIFY-2017) programme: deployment, synergies with ORACLES/LASIC/AEROCLO-SA and initial results
J. Langridge , P. Stier , M. Brooks , H. Coe
AGUFM 2017
2017
An evaluation of the representation of clouds in the Met Office and ECMWF models using long term radar and lidar data.
A. Illingworth , R. Hogan , M. Brooks
EGS - AGU - EUG Joint Assembly 9291
2003
Motivation, rationale and key results from the GERBILS Saharan dust measurement campaign
J. M. Haywood , B. T. Johnson , S. R. Osborne , A. J. Baran
Quarterly Journal of the Royal Meteorological Society 137 ( 658) 1106 -1116
63
2011
Overview of the Dust and Biomass-burning Experiment and African Monsoon Multidisciplinary Analysis Special Observing Period-0
J. M. Haywood , J. Pelon , P. Formenti , N. Bharmal
Journal of Geophysical Research 113 ( 23)
223
2008
Initial tendencies of cloud regimes in the Unified Model
K. D. Williams , M. E. Brooks
10th EMS Annual Meeting
2010
Evaluating cloud systems in the Met Office global forecast model using simulated CloudSat radar reflectivities
A. Bodas-Salcedo , M. J. Webb , M. E. Brooks , M. A. Ringer
Journal of Geophysical Research 113
138
2008
Modeled and observed atmospheric radiation balance during the West African dry season: Role of mineral dust, biomass burning aerosol, and surface albedo
S. F. Milton , G. Greed , M. E. Brooks , J. Haywood
Journal of Geophysical Research 113
85
2008
Effect of Metal Oxides and Black Carbon (Soot) on SO2/O2/H2O Reaction Systems
A. R. Chughtai , M. E. Brooks , D. M. Smith
Aerosol Science and Technology 19 ( 2) 121 -132
21
1993
The Iceland Greenland Seas Project
I. A. Renfrew , R. S. Pickart , K. Våge , G. W. K. Moore
Bulletin of the American Meteorological Society 100 ( 9) 1795 -1817
24
2019
Assessment of the Met Office dust forecast model using observations from the GERBILS campaign
B. T. Johnson , M. E. Brooks , D. Walters , S. Woodward
Quarterly Journal of the Royal Meteorological Society 137 ( 658) 1131 -1148
26
2011
Using model analysis and satellite data to assess cloud and precipitation in midlatitude cyclones
P. R. Field , A. Bodas-Salcedo , M. E. Brooks
Quarterly Journal of the Royal Meteorological Society 137 ( 659) 1501 -1515
31
2011
Development towards a global operational aerosol consensus: basic climatological characteristics of the International Cooperative for Aerosol Prediction Multi-Model Ensemble (ICAP-MME)
W. R. Sessions , J. S. Reid , A. Benedetti , P. R. Colarco
Atmospheric Chemistry and Physics 15 ( 1) 335 -362
85
2015
Initial Tendencies of Cloud Regimes in the Met Office Unified Model
K. D. Williams , M. E. Brooks
Journal of Climate 21 ( 4) 833 -840
36
2008
Identifying errors in dust models from data assimilation
R. J. Pope , J. H. Marsham , P. Knippertz , M. E. Brooks
Geophysical Research Letters 43 ( 17) 9270 -9279
17
2016
Analysis and Reduction of Systematic Errors through a Seamless Approach to Modeling Weather and Climate
G. M. Martin , S. F. Milton , C. A. Senior , M. E. Brooks
Journal of Climate 23 ( 22) 5933 -5957
165
2010
The Met Office Unified Model Global Atmosphere 4.0 and JULES Global Land 4.0 configurations
D. N. Walters , K. D. Williams , I. A. Boutle , A. C. Bushell
Geoscientific Model Development 7 ( 1) 361 -386
2014
The development of a new dust uplift scheme in the Met Office Unified Model™
Duncan Ackerley , EJ Highwood , Mark AJ Harrison , Claire L McConnell
Meteorological Applications: A journal of forecasting, practical applications, training techniques and modelling 16 ( 4) 445 -460
7
2009
Operational dust prediction
Angela Benedetti , José Maria Baldasano , Sara Basart , Francesco Benincasa
Mineral dust: A key player in the earth system 223 -265
37
2014