Topics
Sorted by Author (Author ascending) Add the result to your favourites Refine your searchPublished by: WMO ; 2015
Collection(s) and Series: IOM Report- No. 119
Language(s): English
Format: Digital (Free)Tags: Observations ; Meteorological instrument ; Hydrometeorological instrument ; Automated Weather Observing System (AWOS) ; Global Space-based Inter-Calibration System (GSICS) ; WMO Integrated Global Observing System (WIGOS) ; OBS - Personnel performing instrument calibrations ; Instruments and Methods of Observation Programme (IMOP)
Add tag
No review, please log in to add yours !
![]()
![]()
Instruments and Methods of Observation Programme (IMOP) Knowledge-Sharing Portal
Purpose of this web portal is to enable Members to share their experience and knowledge on Instruments and Methods of Observation, thus facilitating others' everyday work. The portal contains links to many useful resources shared by WMO Members.
![]()
Available online: https://community.wmo.int/activity-areas/imop/knowledge-sharing-portal
Published by: WMO ; 2020
Purpose of this web portal is to enable Members to share their experience and knowledge on Instruments and Methods of Observation, thus facilitating others' everyday work. The portal contains links to many useful resources shared by WMO Members.
Language(s): English
Format: Digital (Free) (1 webpage with links)Tags: Observations ; Meteorological instrument ; Hydrometeorological instrument ; Automated Weather Observing System (AWOS) ; Global Space-based Inter-Calibration System (GSICS) ; WMO Integrated Global Observing System (WIGOS) ; Text/ Reading ; OBS - Personnel installing and maintaining instrumentation ; OBS - Personnel managing observing programmes and networks ; OBS - Personnel performing instrument calibrations ; OBS - Personnel performing meteorological observations
Add tag
No review, please log in to add yours !
Language(s): English
Format: Hard copyTags: Observations ; Hydrometeorological instrument ; Radiometry
Add tag
No review, please log in to add yours !
![]()
![]()
Evaluation of the accuracy of analysis tools for atmospheric new particle formation
Atmospheric Chemistry and Physics (ACP), Vol. 11. N° 7. Korhonen H.; Sihto S.-L.; Kerminen V.-M.; et al. - Copernicus GmbH, 2011Several mathematical tools have been developed in recent years to analyze new particle formation rates and to estimate nucleation rates and mechanisms at sub-3 nm sizes from atmospheric aerosol data. Here we evaluate these analysis tools using 1239 numerical nucleation events for which the nucleation mechanism and formation rates were known exactly. The accuracy of the estimates of particle formation rate at 3 nm (J3) showed significant sensitivity to the details of the analysis, i.e. form of equations used and assumptions made about the initial size of nucleating clusters, with the fraction o ...
[article]
![]()
Available online: http://dx.doi.org/10.5194/acp-11-3051-2011
H. Korhonen ; S.-L. Sihto ; V.-M. Kerminen ; K.E.J. Lehtinen
in Atmospheric Chemistry and Physics (ACP) > Vol. 11. N° 7 [04/01/2011] . - p.3051-3066Several mathematical tools have been developed in recent years to analyze new particle formation rates and to estimate nucleation rates and mechanisms at sub-3 nm sizes from atmospheric aerosol data. Here we evaluate these analysis tools using 1239 numerical nucleation events for which the nucleation mechanism and formation rates were known exactly. The accuracy of the estimates of particle formation rate at 3 nm (J3) showed significant sensitivity to the details of the analysis, i.e. form of equations used and assumptions made about the initial size of nucleating clusters, with the fraction of events within a factor-of-two accuracy ranging from 43–97%. In general, the estimates of the actual nucleation rate at 1.5 nm (J1.5) were less accurate, and even the most accurate analysis set-up estimated only 59% of the events within a factor of two of the simulated mean nucleation rate. The J1.5 estimates were deteriorated mainly by the size dependence of the cluster growth rate below 3 nm, which the analysis tools do not take into account, but also by possible erroneous assumptions about the initial cluster size. The poor estimates of J1.5 can lead to large uncertainties in the nucleation prefactors (i.e. constant P in nucleation equation J1.5 = P × [H2SO4]k). Large uncertainties were found also in the procedures that are used to determine the nucleation mechanism. When applied to individual events, the analysis tools clearly overestimated the number of H2SO4 molecules in a critical cluster for most events, and thus associated them with a wrong nucleation mechanism. However, in some conditions the number of H2SO4 molecules in a critical cluster was underestimated. This indicates that analysis of field data that implies a maximum of 2 H2SO4 molecules in a cluster does not automatically rule out a higher number of molecules in the actual nucleating cluster. Our analysis also suggests that combining data from several new particle formation events to scatter plots of H2SO4 vs formation rates (J1.5 or J3) and determining the slope of the regression line may not give reliable information about the nucleation mechanism. Overall, while the analysis tools for new particle formation are useful for getting order-of-magnitude estimates of parameters related to atmospheric nucleation, one should be very cautious in interpreting the results. It is, for example, possible that the tools may have misdirected our theoretical understanding of the nucleation mechanism.
Language(s): English
Format: Digital (Free)Tags: Aerosols ; Atmosphere ; Hydrometeorological instrument ; Research
Add tag
[article]No review, please log in to add yours !
![]()
![]()
Meteorological Instrument Performance Characteristics
NCAR's Earth Observing Laboratory ; The COMET Program ; Millersville University - The University Corporation for Atmospheric Research, 2017This advanced lesson explores the performance characteristics of instrumentation used for meteorological measurements. Static performance characteristics are examined in the context of calibration, which offers a means to determine an instrument's response. Dynamic performance characteristics, including first and second order inputs, are discussed using three classic examples: step or impulse, ramp or time varying, and oscillatory inputs. The lesson provides information about the effects of representativeness and regional homogeneity on measurements, and also describes processes for obtaining ...
![]()
Available online: https://www.meted.ucar.edu/instrumentation/performance_char/
NCAR's Earth Observing Laboratory ; The COMET Program (Boulder, United States of America) ; Millersville University
Published by: The University Corporation for Atmospheric Research ; 2017This advanced lesson explores the performance characteristics of instrumentation used for meteorological measurements. Static performance characteristics are examined in the context of calibration, which offers a means to determine an instrument's response. Dynamic performance characteristics, including first and second order inputs, are discussed using three classic examples: step or impulse, ramp or time varying, and oscillatory inputs. The lesson provides information about the effects of representativeness and regional homogeneity on measurements, and also describes processes for obtaining quantitative estimates of uncertainty.
Notes: Requires user login with free registration. For non-commercial use.
Disclaimer regarding 3rd party resources: WMO endeavours to ensure, but cannot and does not guarantee the accuracy, accessibility, integrity and timeliness of the information available on its website. WMO may make changes to the content of this website at any time without notice.
The responsibility for opinions expressed in articles, publications, studies and other contributions rests solely with their authors, and their posting on this website does not constitute an endorsement by WMO of the opinion expressed therein.
WMO shall not be liable for any damages incurred as a result of the use of its website. Please do not misuse our website.Language(s): English
Format: Digital (Free)Tags: Automated Weather Observing System (AWOS) ; Global Space-based Inter-Calibration System (GSICS) ; WMO Integrated Global Observing System (WIGOS) ; Observations ; Meteorological instrument ; Climate ; Hydrometeorological instrument ; OBS - Personnel managing observing programmes and networks ; OBS - Personnel performing meteorological observations
Add tag
No review, please log in to add yours !
![]()
![]()
![]()
Statement on the occasion of the General Assembly Meeting of the Association of Hydro-meteorological Equipment Industry
Obasi G.O.P; World Meteorological Organization (WMO) - WMO, 2003 (SG's lectures, speeches, statements-No. 231)
Permalink![]()
![]()
![]()
Statement on the occasion of the presentation of the Twelfth Professor Dr Vilho Vaisala Award
Permalink![]()
![]()
![]()
Commission des instruments et des méthodes d'observation (CIMO) - Douzième session: rapport final abrégé, résolutions et recommandations
PermalinkPermalink![]()
![]()
![]()
Commission des instruments et des méthodes d’observation (CIMO) - Quinzième session: rapport final abrégé, résolutions et recommandations
Permalink![]()
![]()
![]()
Commission des instruments et des méthodes d'observation (CIMO) - Rapport final abrégé de la cinquième session
Permalink![]()
![]()
![]()
Commission des instruments et des méthodes d'observation (CIMO) - Rapport final abrégé de la deuxième session
Permalink![]()
![]()
![]()
Commission des instruments et des méthodes d'observation (CIMO) - Rapport final abrégé de la dixième session
Permalink![]()
![]()
![]()
Commission des instruments et des méthodes d'observation (CIMO) - Rapport final abrégé de la huitième session
Permalink![]()
![]()
![]()
Commission des instruments et des méthodes d'observation (CIMO) - Rapport final abrégé de la neuvième session
Permalink





Add tag




