GLORIA

GEOMAR Library Ocean Research Information Access

feed icon rss

Ihre E-Mail wurde erfolgreich gesendet. Bitte prüfen Sie Ihren Maileingang.

Leider ist ein Fehler beim E-Mail-Versand aufgetreten. Bitte versuchen Sie es erneut.

Vorgang fortführen?

Exportieren
  • 1
    Online-Ressource
    Online-Ressource
    Dordrecht :Springer Netherlands,
    Schlagwort(e): Dust. ; Electronic books.
    Materialart: Online-Ressource
    Seiten: 1 online resource (526 pages)
    Ausgabe: 1st ed.
    ISBN: 9789401789783
    DDC: 551.304
    Sprache: Englisch
    Anmerkung: Intro -- Preface -- Personal Notes by the Editors -- Peter Knippertz -- Jan-Berend W. Stuut -- Acknowledgements -- Contents -- Contributors -- About the Editors -- 1 Introduction -- 1.1 Why Study Dust? -- 1.2 A Short History of Dust Research -- 1.3 Recent Developments: Timeliness of This Book -- 1.4 Outline and Structure of This Book -- References -- 2 On Composition, Morphology, and Size Distribution of Airborne Mineral Dust -- 2.1 Introduction -- 2.2 Composition -- 2.2.1 Mineralogical Data -- 2.2.2 Isotope Data -- 2.2.3 Elemental Data -- 2.3 Individual-Particle Analysis -- 2.3.1 Particle Shape and Morphology -- 2.4 Size Distributions -- 2.5 Discussion and Conclusions -- 2.5.1 Direct Radiative Forcing -- 2.5.2 Indirect Radiative Forcing -- 2.5.3 Ecosystem Nutrient Supply and Human Health Effects -- References -- 3 Identifying Sources of Aeolian Mineral Dust: Present and Past -- 3.1 Introduction -- 3.2 Processes of Dust Particle Formation -- 3.3 Methods of Identifying Contemporary Dust Sources -- 3.3.1 Geomorphic Perspectives on Dust Sources -- 3.3.2 Aerosol Indexes (AI) Derived from the Orbiting TOMS (Total Ozone Mapping Spectrometer) -- 3.3.3 MODIS and MISR Imagery from the Terra and Aqua Satellites -- 3.3.4 Back-Trajectory Analyses to Identify Dust Sources -- 3.4 Identification of Past Dust Sources -- 3.4.1 Geomorphic Evidence of Past Dust Sources -- 3.4.2 Physical Properties of Dust Deposits -- 3.4.3 Mineralogy as a Guide to Dust Sources -- 3.4.4 Geochemical Methods of Identifying Dust Sources -- 3.4.5 Isotopic Methods of Identifying Dust Sources -- 3.4.6 Biologic Methods of Identifying Dust Sources -- 3.5 Conclusion -- References -- 4 Processing and Ageing in the Atmosphere -- 4.1 Introduction -- 4.2 Physical Processing -- 4.3 Chemical Processing -- 4.3.1 Impacts on Physical Properties of Dust -- 4.3.2 Impacts on Dust Reactivity. , 4.3.3 Impacts on Atmospheric Composition -- Nitric Acid and Nitrogen Oxides -- Sulphur Species -- Ozone -- Other Inorganic and Organic Species -- 4.4 Conclusion -- References -- 5 Dust Production Mechanisms -- 5.1 Introduction -- 5.2 General Understanding -- 5.3 Erosion Threshold -- 5.3.1 Influence of Soil Particle Size -- 5.3.2 Influence of Soil Moisture -- 5.3.3 Influence of Surface Roughness -- 5.3.4 Other Factors -- 5.4 Saltation -- 5.5 Dust Emission -- 5.5.1 Empirical Approaches -- 5.5.2 Physically Based Models -- 5.5.3 Models Versus Observations -- 5.6 Conclusion -- References -- 6 Meteorological Aspects of Dust Storms -- 6.1 Introduction -- 6.2 Large-Scale Circulations -- 6.3 Synoptic-Scale Aspects -- 6.3.1 Cyclone Dominated Dust Events -- 6.3.2 Anticyclone Dominated Dust Events -- 6.3.3 Dynamics and Character of Dust Fronts -- 6.4 Moist Convection -- 6.5 Dry Convection -- 6.6 Diurnal Variations -- 6.7 Topographic Effects -- 6.8 Modelling -- 6.9 Conclusion -- References -- 7 Dust Observations and Climatology -- 7.1 Introduction -- 7.2 Observational Systems -- 7.3 Applications -- 7.3.1 Source Regions -- Regional Data from Geostationary Satellite -- Global Data from Polar-Orbiting Satellite -- 7.3.2 Transport -- General Features -- AOD, Dust Discrimination and Dust Above Clouds -- 7.3.3 Interannual Variability and Trends -- 7.3.4 Vertical Structure -- 7.4 Conclusion -- References -- 8 Dust Deposition -- 8.1 Introduction -- 8.2 Deposition Processes -- 8.2.1 Dry Deposition -- Gravitational Settling Velocity -- Aerodynamic and Quasi-laminar Resistances -- 8.2.2 Wet Deposition -- Brownian Diffusion -- Interception -- Inertial Impaction -- 8.2.3 Particle Size Distribution and Deposition in Dust Models -- 8.3 Dust Deposition Measurements -- 8.4 The Uncertainties in the Simulated Dust Mass Budget -- 8.5 Conclusion -- References. , 9 Numerical Dust Models -- 9.1 Introduction -- 9.2 Dust Emission Modelling -- 9.3 Model Representation of Dust Source Properties -- 9.4 Role of Meteorology in Dust Emission and Transport -- 9.5 Deposition -- 9.6 Optical Properties of Dust Used in Dust Models -- 9.7 Regional Dust Models -- 9.8 Global Dust Models -- 9.9 Conclusion -- References -- 10 Operational Dust Prediction -- 10.1 Introduction -- 10.1.1 Motivation for Dust Forecasting -- 10.1.2 A Brief History of Dust Forecasting -- 10.1.3 Specific Challenges in Dust Prediction -- 10.2 Dust Prediction Models -- 10.2.1 Global Models -- ECMWF/MACC Aerosol Prediction System -- FNMOC Navy Aerosol Analysis and Prediction System -- JMA Operational Dust Forecast Model -- Met Office Dust Prediction System -- NASA GEOS-5 Aerosol Forecasting System -- NCEP/NGAC Global Aerosol Forecasting System -- NMMB/BSC-Dust Model -- 10.2.2 Regional Models -- CHIMERE Model -- CUACE/Dust -- The DREAM/BSC-DREAM8b Models -- FNMOC Coupled Ocean-Atmosphere Mesoscale Prediction System (COAMPS) -- Regional Mineral Dust Forecast Model in Taiwan -- 10.3 Multi-model Ensembles -- 10.3.1 The International Cooperative for Aerosol Prediction (ICAP) Multi-model Ensemble -- 10.3.2 WMO SDS Regional Dust Prediction Multi-model Ensemble -- 10.4 Data Assimilation for Dust Prediction -- 10.4.1 Introduction -- 10.4.2 Main Concepts -- 10.5 Evaluation of Atmospheric Dust Prediction Models -- 10.5.1 General Concepts -- 10.5.2 Observational Data for Evaluation -- 10.5.3 Metrics -- 10.5.4 Examples of Near Real-Time Evaluation -- The WMO SDS-WAS Dust Model Evaluation Initiative -- The MACC-II Evaluation -- Case Study Evaluation -- 10.6 Conclusion -- Appendix A: Technical Aspects of Data Assimilationfor Dust Prediction -- A10.1 Assimilation Techniques -- Variational Methods (CMA, ECMWF, FNMOC/NRL, Met Office, NASA GMAO). , Kalman Filter and Ensemble Kalman Filter Methods (MRI/JMA, NRL) -- A10.2 Observations Used for the Dust Analyses -- Main Products -- Data Quality Aspects and Bias Correction -- A10.3 Definitions of Background and Observational Errors -- Background Error Covariance Matrices -- Flow-Dependent Background Error Covariance Matrix -- Observation Errors -- References -- 11 Radiative Effects of Dust -- 11.1 Introduction -- 11.2 Optical Properties of Dust -- 11.2.1 Definition of Optical Properties -- 11.2.2 Methods of Characterising Dust Optical Properties -- 11.2.3 Sensitivity of Optical Properties to Size and Composition: An Illustrative Example -- 11.2.4 Measurements of Single-Scattering Albedo -- 11.3 Measurements and Estimates of Radiative Effect -- 11.4 Implications of Dust-Radiation Interactions for Satellite Retrievals -- 11.5 Dust and Visibility -- 11.6 Implications for Including the Radiative Impact of Dust in Models -- References -- 12 Mineral Dust and its Microphysical Interactions with Clouds -- 12.1 CCN, IN, and Their Impacts on Clouds, the Hydrological Cycle, and Climate -- 12.2 The CCN Activity of Mineral Dust -- 12.3 The IN Activity of Mineral Dust -- 12.4 Field Observations of Dust CCN Activity/Hygroscopicity -- 12.5 Field Observations of Mineral Dust as IN -- 12.6 Laboratory Experiments on Mineral Dust CCN -- 12.7 Laboratory Experiments on Mineral Dust IN -- 12.8 Modeling Studies on the Interaction of Dust with Clouds -- 12.9 Conclusion -- References -- 13 Impact of Dust Radiative Forcing upon Climate -- 13.1 Introduction -- 13.2 Radiative Forcing by Dust Aerosols -- 13.3 Dust Radiative Impacts upon Climate -- 13.3.1 Temperature -- 13.3.1.1 Temperature Adjustment in Convectively Mixed Regions -- 13.3.1.2 Temperature Adjustment in Subsiding Regions -- 13.3.2 Precipitation -- 13.3.2.1 The Global Anomaly -- 13.3.2.2 Regional Anomalies. , 13.4 Feedback of Climate Anomalies upon the Dust Cycle -- 13.4.1 Surface Wind Speed and Dust Mobilization -- 13.4.2 Vegetation and Dust Source Extent -- 13.5 Conclusion -- References -- 14 Biogeochemical Impacts of Dust on the Global Carbon Cycle -- 14.1 Introduction -- 14.2 Biogeochemical Impacts of Dust on Terrestrial Systems -- 14.2.1 Soil Formation -- 14.2.2 Nutrient Supply -- 14.3 Biogeochemical Impacts of Dust Deposition on the Oceans -- 14.4 Conclusion -- References -- 15 Dust and Human Health -- 15.1 Introduction -- 15.2 Review of Air Pollution Basics -- 15.3 Human Exposure Pathways -- 15.4 Characteristics That Contribute to Observed Health Effects -- 15.4.1 Particle Size and Composition -- 15.4.2 Microorganisms in Dust -- 15.4.3 Mechanisms of Action -- 15.4.4 Exposure and Susceptibility -- 15.5 Ailments Associated with Airborne Dusts -- 15.5.1 Asthma -- 15.5.2 Meningitis -- 15.5.3 Hospitalization and Mortality Related to Intercontinental Dust -- 15.5.4 Exposures to Agricultural Dusts -- 15.5.5 Other Potential Risks Related to MD Exposures: Pneumoconioses -- 15.6 Conclusion -- References -- 16 Loess Records -- 16.1 Introduction -- 16.2 Definition of Loess -- 16.3 Mineralogy and Geochemistry of Loess -- 16.4 Genesis of Loess Deposits -- 16.5 Loess Stratigraphy -- 16.6 Loess Geochronology -- 16.7 Paleoclimatic and Paleoenvironmental Interpretation of Loess Deposits -- 16.8 Global Loess Deposits -- 16.8.1 Europe -- 16.8.2 Africa and the Middle East -- 16.8.3 Asia -- 16.8.4 Australia and New Zealand -- 16.8.5 South America -- 16.8.6 North America -- 16.9 Conclusion -- References -- 17 Subaquatic Dust Deposits -- 17.1 Introduction -- 17.2 From Desert Source to Subaquatic Sink: Dust Transport Processes -- 17.3 Wind-blown Dust in Subaqueous Sedimentary Archives: A Recorder of Environmental Changes -- 17.3.1 Lacustrine Dust Archives. , 17.3.2 Marine Dust Archives.
    Standort Signatur Einschränkungen Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 2
    Schlagwort(e): Hochschulschrift ; Maghreb ; Niederschlagsmenge ; Variabilität ; Niederschlag ; Maghreb
    Materialart: Buch
    Seiten: VIII, 136 S. , graph. Darst., Kt.
    Serie: Mitteilungen aus dem Institut für Geophysik und Meteorologie der Universität zu Köln 152
    RVK:
    Sprache: Deutsch
    Anmerkung: Zsfassung in engl. Sprache , Zugl.: Köln, Univ., Diss., 2003
    Standort Signatur Einschränkungen Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 3
    Publikationsdatum: 2023-11-17
    Beschreibung: 〈title xmlns:mml="http://www.w3.org/1998/Math/MathML"〉Abstract〈/title〉〈p xmlns:mml="http://www.w3.org/1998/Math/MathML" xml:lang="en"〉〈italic toggle="no"〉Aeolus〈/italic〉 is the first satellite mission to acquire vertical profiles of horizontal line‐of‐sight winds globally and thus fills an important gap in the Global Observing System, most notably in the Tropics. This study explores the impact of this dataset on analyses and forecasts from the European Centre for Medium‐Range Weather Forecasts (ECMWF) and Deutscher Wetterdienst (DWD), focusing specifically on the West African Monsoon (WAM) circulation during the boreal summers of 2019 and 2020. The WAM is notoriously challenging to forecast and is characterized by prominent and robust large‐scale circulation features such as the African Easterly Jet North (AEJ‐North) and Tropical Easterly Jet (TEJ). Assimilating 〈italic toggle="no"〉Aeolus〈/italic〉 generally improves the prediction of zonal winds in both forecasting systems, especially for lead times above 24 h. These improvements are related to systematic differences in the representation of the two jets, with the AEJ‐North weakened at its southern flank in the western Sahel in the ECMWF analysis, while no obvious systematic differences are seen in the DWD analysis. In addition, the TEJ core is weakened in the ECMWF analysis and strengthened on its southern edge in the DWD analysis. The regions where the influence of 〈italic toggle="no"〉Aeolus〈/italic〉 on the analysis is greatest correspond to the Intertropical Convergence Zone (ITCZ) region for ECMWF and generally the upper troposphere for DWD. In addition, we show the presence of an altitude‐ and orbit‐dependent bias in the Rayleigh‐clear channel, which causes the zonal winds to speed up and slow down diurnally. Applying a temperature‐dependent bias correction to this channel contributes to a more accurate representation of the diurnal cycle and improved prediction of the WAM winds. These improvements are encouraging for future investigations of the influence of 〈italic toggle="no"〉Aeolus〈/italic〉 data on African Easterly Waves and associated Mesoscale Convective Systems.〈/p〉
    Beschreibung: 〈p xmlns:mml="http://www.w3.org/1998/Math/MathML" xml:lang="en"〉Forecasting in tropical Africa is hampered by large model errors and low availability of conventional observations. The assimilation of 〈italic〉Aeolus〈/italic〉 wind data into the operational ECMWF system leads to a consistent root‐mean‐square error (RMSE) reduction of the order of 2% in +48 h zonal wind forecasts over the region during boreal summer 2019, including the African and Tropical Easterly Jets (AEJ, TEJ) and subtropical jets (STJ). 〈boxed-text position="anchor" id="qj4442-blkfxd-0001" content-type="graphic" xml:lang="en"〉〈graphic position="anchor" id="jats-graphic-1" xlink:href="urn:x-wiley:00359009:media:qj4442:qj4442-toc-0001"〉 〈/graphic〉 〈/boxed-text〉〈/p〉
    Beschreibung: https://aeolus-ds.eo.esa.int/oads/access/collection
    Schlagwort(e): ddc:551.6 ; aeolus satellite ; doppler wind lidar ; data assimilation ; numerical weather prediction impact ; African easterly jet ; tropical easterly jet ; observing system experiments
    Sprache: Englisch
    Materialart: doc-type:article
    Standort Signatur Einschränkungen Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 4
    Publikationsdatum: 2023-01-03
    Beschreibung: Despite the importance of dust aerosol in the Earth system, state-of-the-art models show a large variety for North African dust emission. This study presents a systematic evaluation of dust emitting-winds in 30 years of the historical model simulation with the UK Met Office Earth-system model HadGEM2-ES for the Coupled Model Intercomparison Project Phase 5. Isolating the effect of winds on dust emission and using an automated detection for nocturnal low-level jets (NLLJs) allow an in-depth evaluation of the model performance for dust emission from a meteorological perspective. The findings highlight that NLLJs are a key driver for dust emission in HadGEM2-ES in terms of occurrence frequency and strength. The annually and spatially averaged occurrence frequency of NLLJs is similar in HadGEM2-ES and ERA-Interim from the European Centre for Medium-Range Weather Forecasts. Compared to ERA-Interim, a stronger pressure ridge over northern Africa in winter and the southward displaced heat low in summer result in differences in location and strength of NLLJs. Particularly the larger geostrophic winds associated with the stronger ridge have a strengthening effect on NLLJs over parts of West Africa in winter. Stronger NLLJs in summer may rather result from an artificially increased mixing coefficient under stable stratification that is weaker in HadGEM2-ES. NLLJs in the Bodélé Depression are affected by stronger synoptic-scale pressure gradients in HadGEM2-ES. Wintertime geostrophic winds can even be so strong that the associated vertical wind shear prevents the formation of NLLJs. These results call for further model improvements in the synoptic-scale dynamics and the physical parametrization of the nocturnal stable boundary layer to better represent dust-emitting processes in the atmospheric model. The new approach could be used for identifying systematic behavior in other models with respect to meteorological processes for dust emission. This would help to improve dust emission simulations and contribute to decreasing the currently large uncertainty in climate change projections with respect to dust aerosol.
    Materialart: Article , PeerReviewed
    Format: text
    Standort Signatur Einschränkungen Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 5
    Publikationsdatum: 2021-07-01
    Beschreibung: Short‐term global ensemble predictions of rainfall currently have no skill over northern tropical Africa when compared to simple climatology‐based forecasts, even after sophisticated statistical postprocessing. Here, we demonstrate that 1‐day statistical forecasts for the probability of precipitation occurrence based on a simple logistic regression model have considerable potential for improvement. The new approach we present here relies on gridded rainfall estimates from the Tropical Rainfall Measuring Mission for July‐September 1998–2017 and uses rainfall amounts from the pixels that show the highest positive and negative correlations on the previous two days as input. Forecasts using this model are reliable and have a higher resolution and better skill than climatology‐based forecasts. The good performance is related to westward propagating African easterly waves and embedded mesoscale convective systems. The statistical model is outmatched by the postprocessed dynamical forecast in the dry outer tropics only, where extratropical influences are important.
    Beschreibung: Plain Language Summary: Forecasts of precipitation for the next few days based on state‐of‐the‐art weather models are currently inaccurate over northern tropical Africa, even after systematic forecast errors are corrected statistically. In this paper, we show that we can use rainfall observations from the previous 2 days to improve 1‐day predictions of precipitation occurrence. Such an approach works well over this region, as rainfall systems tend to travel from the east to the west organized by flow patterns several kilometers above the ground, called African easterly waves. This statistical forecast model requires training over a longer time period (here 19 years) to establish robust relationships on which future predictions can be based. The input data employed are gridded rainfall estimates based on satellite data for the African summer monsoon in July to September. The new method outperforms all other methods currently available on a day‐to‐day basis over the region, except for the dry outer tropics, where influences from midlatitudes, which are better captured by weather models, become more important.
    Beschreibung: Key Points: Raw and statistically postprocessed global ensemble forecasts fail to predict West African rainfall occurrence. A logistic regression model using observations from preceding days outperforms all other types of forecasts. The skill of the statistical model is mainly related to propagating African easterly waves and mesoscale convective systems.
    Beschreibung: Deutsche Forschungsgemeinschaft
    Beschreibung: Klaus Tschira Stiftung
    Schlagwort(e): 551.5 ; forecasting ; logistic regression ; postprocessing ; precipitation ; tropical convection ; West Africa
    Materialart: article
    Standort Signatur Einschränkungen Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 6
    Publikationsdatum: 2022-04-01
    Beschreibung: We present a Lagrangian framework for identifying mechanisms that control the isotopic composition of mid‐tropospheric water vapor in the Sahel region during the West African Monsoon 2016. In this region mixing between contrasting air masses, strong convective activity, as well as surface and rain evaporation lead to high variability in the distribution of stable water isotopologues. Using backward trajectories based on high‐resolution isotope‐enabled model data, we obtain information not only about the source regions of Sahelian air masses, but also about the evolution of H2O and its isotopologue HDO (expressed as δD) along the pathways of individual air parcels. We sort the full trajectory ensemble into groups with similar transport pathways and hydro‐meteorological properties, such as precipitation and relative humidity, and investigate the evolution of the corresponding paired {H2O, δD} distributions. The use of idealized process curves in the {H2O, δD} phase space allows us to attribute isotopic changes to contributions from (a) air mass mixing, (b) Rayleigh condensation during convection, and (c) microphysical processes depleting the vapor beyond the Rayleigh prediction, i.e., partial rain evaporation in unsaturated and isotopic equilibration in saturated conditions. Different combinations of these processes along the trajectory ensembles are found to determine the final isotopic composition in the Sahelian troposphere during the monsoon. The presented Lagrangian framework is a powerful tool for interpreting tropospheric water vapor distributions. In the future, it will be applied to satellite observations of {H2O, δD} over Africa and other regions in order to better quantify characteristics of the hydrological cycle.
    Beschreibung: Key Points: New Lagrangian framework to attribute variability in {H2O, δD} distributions to air mass mixing and phase changes of water. Application to West African Monsoon season 2016 shows characteristic mixing and precipitation effects along trajectories. New framework can be used for the interpretation of satellite and in‐situ observations, and for model validation in future work.
    Beschreibung: Deutsche Forschungsgemeinschaft (DFG) http://dx.doi.org/10.13039/501100001659
    Beschreibung: Swiss National Science Foundation
    Beschreibung: European Space Agency
    Beschreibung: Bundesministerium für Bildung und Forschung (BMBF) http://dx.doi.org/10.13039/501100002347
    Beschreibung: Ministerium für Wissenschaft, Forschung und Kunst Baden‐Württemberg (MWK) http://dx.doi.org/10.13039/501100003542
    Schlagwort(e): ddc:551.5
    Sprache: Englisch
    Materialart: doc-type:article
    Standort Signatur Einschränkungen Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 7
    Publikationsdatum: 2022-03-25
    Beschreibung: Reliable and accurate weather forecasts, particularly those of rainfall and its extremes, have the potential to improve living conditions in densely populated southern West Africa (SWA). The limited availability of observations has long impeded a rigorous evaluation of current state-of-the-art forecast models. The field campaign of the Dynamics-Aerosol-Chemistry-Cloud Interactions in West Africa (DACCIWA) project in June–July 2016 has created an unprecedentedly dense set of measurements from surface stations and radiosondes. Here we present results from a comprehensive evaluation of both numerical model forecasts and satellite products using these data on a regional and local level. Results reveal a substantial observational uncertainty showing considerable underestimations in satellite estimates of rainfall and low-cloud cover with little correlation at the local scale. Models have a dry bias of 0.1–1.9 mm·day−1 in rainfall and too low column relative humidity. They tend to underestimate low clouds, leading to excess surface solar radiation of 43 W·m−2. Remarkably, most models show some skill in representing regional modulations of rainfall related to synoptic-scale disturbances, while local variations in rainfall and cloudiness are hardly captured. Slightly better results are found with respect to temperature and for the post-onset rather than for the pre-onset period. Delicate local features such as the Maritime Inflow phenomenon are also rather poorly represented, leading to too cool, dry and cloudy conditions at the coast. Differences between forecast days 1 and 2 are relatively small and hardly systematic, suggesting a relatively quick error saturation. Using explicit convection leads to more realistic spatial variability in rainfall, but otherwise no marked improvement. Future work should aim at improving the subtle balance between the diurnal cycles of low clouds, surface radiation, the boundary layer and convection. Further efforts are also needed to improve the observational system beyond field campaign periods.
    Schlagwort(e): ddc:551.6
    Sprache: Englisch
    Materialart: doc-type:article
    Standort Signatur Einschränkungen Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 8
    Publikationsdatum: 2021-10-12
    Beschreibung: During the DACCIWA (Dynamics–Aerosol–Chemistry–Cloud Interactions in West Africa) field campaign ∼900 radiosondes were launched from 12 stations in southern West Africa from 15 June to 31 July 2016. Subsequently, data-denial experiments were conducted using the Integrated Forecasting System of the European Centre for Medium-range Weather Forecasts (ECMWF) to assess the radiosondes' impact on the quality of analyses and forecasts. As observational reference, satellite-based estimates of rainfall and outgoing long-wave radiation (OLR) as well as the radiosonde measurements themselves are used. With regard to the analyses, the additional observations show positive impacts on winds throughout the troposphere and lower stratosphere, while large lower-tropospheric cold and dry biases are hardly reduced. Nonetheless, downstream, that is farther inland from the radiosonde stations, we find a significant increase (decrease) in low-level night-time temperatures (monsoon winds) when incorporating the DACCIWA observations, suggesting a possible linkage via weaker cold air advection from the Gulf of Guinea. The associated lower relative humidity leads to reduced cloud cover in the DACCIWA analysis. Closer to the coast and over Benin and Togo, DACCIWA observations increase low-level specific humidity and precipitable water, possibly due to changes in advection and vertical mixing. During daytime, differences between the two analyses are generally smaller at low levels. With regard to the forecasts, the impact of the additional observations is lost after a day or less. Moderate improvements occur in low-level wind and temperature but also in rainfall over the downstream Sahel, while impacts on OLR are ambiguous. The changes in precipitation appear to also affect high-level cloud cover and the tropical easterly jet. The overall rather small observation impact suggests that model and data assimilation deficits are the main limiting factors for better forecasts in West Africa. The new observations and physical understanding from DACCIWA can hopefully contribute to reducing these issues.
    Schlagwort(e): 551.6 ; data-denial experiment ; field campaign ; radiosonde measurements ; West African monsoon
    Sprache: Englisch
    Materialart: map
    Standort Signatur Einschränkungen Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 9
    Publikationsdatum: 2021-12-15
    Beschreibung: Due to its dryness, the subtropical free troposphere plays a critical role in the radiative balance of the Earth's climate system. But the complex interactions of the dynamical and physical processes controlling the variability in the moisture budget of this sensitive region of the subtropical atmosphere are still not fully understood. Stable water isotopes can provide important information about several of the latter processes, namely subsidence drying, turbulent mixing, and dry and moist convective moistening. In this study, we use high-resolution simulations of the isotope-enabled version of the regional weather and climate prediction model of the Consortium for Small-Scale Modelling (COSMOiso) to investigate predominant moisture transport pathways in the Canary Islands region in the eastern subtropical North Atlantic. Comparison of the simulated isotope signals with multi-platform isotope observations (aircraft, ground- and space-based remote sensing) from a field campaign in summer 2013 shows that COSMOiso can reproduce the observed variability of stable water vapour isotopes on timescales of hours to days, thus allowing us to study the mechanisms that control the subtropical free-tropospheric humidity. Changes in isotopic signals along backward trajectories from the Canary Islands region reveal the physical processes behind the synoptic-scale isotope variability. We identify four predominant moisture transport pathways of mid-tropospheric air, each with distinct isotopic signatures: - air parcels originating from the convective boundary layer of the Saharan heat low (SHL) – these are characterised by a homogeneous isotopic composition with a particularly high δD (median mid-tropospheric δD=−122‰), which results from dry convective mixing of low-level moisture of diverse origin advected into the SHL; - air parcels originating from the free troposphere above the SHL – although experiencing the largest changes in humidity and δD during their subsidence over West Africa, these air parcels typically have lower δD values (median δD=−148‰) than air parcels originating from the boundary layer of the SHL; - air parcels originating from outside the SHL region, typically descending from tropical upper levels south of the SHL, which are often affected by moist convective injections from mesoscale convective systems in the Sahel – their isotopic composition is much less enriched in heavy isotopes (median δD=−175‰) than those from the SHL region; - air parcels subsiding from the upper-level extratropical North Atlantic – this pathway leads to the driest and most depleted conditions (median δD=−255‰) in the middle troposphere near the Canary Islands. The alternation of these transport pathways explains the observed high variability in humidity and δD on synoptic timescales to a large degree. We further show that the four different transport pathways are related to specific large-scale flow conditions. In particular, distinct differences in the location of the North African mid-level anticyclone and of extratropical Rossby wave patterns occur between the four transport pathways. Overall, this study demonstrates that the adopted Lagrangian isotope perspective enhances our understanding of air mass transport and mixing and offers a sound interpretation of the free-tropospheric variability of specific humidity and isotope composition on timescales of hours to days in contrasting atmospheric conditions over the eastern subtropical North Atlantic.
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: Article , isiRev
    Standort Signatur Einschränkungen Verfügbarkeit
    BibTip Andere fanden auch interessant ...
Schließen ⊗
Diese Webseite nutzt Cookies und das Analyse-Tool Matomo. Weitere Informationen finden Sie hier...