Subjects -> METEOROLOGY (Total: 106 journals)
 Showing 1 - 36 of 36 Journals sorted by number of followers Journal of Atmospheric and Solar-Terrestrial Physics       (Followers: 164) Nature Climate Change       (Followers: 153) Journal of the Atmospheric Sciences       (Followers: 79) Atmospheric Environment       (Followers: 72) Atmospheric Research       (Followers: 71) Climatic Change       (Followers: 71) Bulletin of the American Meteorological Society       (Followers: 62) Advances in Climate Change Research       (Followers: 59) Climate Policy       (Followers: 56) Journal of Climate       (Followers: 55) Climate Change Economics       (Followers: 50) Climate Dynamics       (Followers: 44) Atmospheric Chemistry and Physics (ACP)       (Followers: 43) Weather and Forecasting       (Followers: 42) Journal of Applied Meteorology and Climatology       (Followers: 42) Advances in Atmospheric Sciences       (Followers: 42) American Journal of Climate Change       (Followers: 41) Nature Reports Climate Change       (Followers: 40) Journal of Hydrology and Meteorology       (Followers: 39) Atmospheric Science Letters       (Followers: 39) Journal of Atmospheric and Oceanic Technology       (Followers: 33) International Journal of Climate Change Strategies and Management       (Followers: 33) Atmosphere       (Followers: 33) The Quarterly Journal of the Royal Meteorological Society       (Followers: 31) Journal of Space Weather and Space Climate       (Followers: 30) Climate Resilience and Sustainability       (Followers: 29) Monthly Weather Review       (Followers: 29) Boundary-Layer Meteorology       (Followers: 29) Meteorology and Atmospheric Physics       (Followers: 28) International Journal of Climatology       (Followers: 28) Space Weather       (Followers: 27) Climate Change Responses       (Followers: 27) Energy & Environment       (Followers: 26) Journal of Climate Change       (Followers: 25) Environmental Dynamics and Global Climate Change       (Followers: 24) International Journal of Environment and Climate Change       (Followers: 24) International Journal of Atmospheric Sciences       (Followers: 24) Journal of Atmospheric Chemistry       (Followers: 23) Advances in Meteorology       (Followers: 23) Current Climate Change Reports       (Followers: 22) Tellus A       (Followers: 21) Tellus B       (Followers: 20) Agricultural and Forest Meteorology       (Followers: 20) Journal of Economic Literature       (Followers: 19) Journal of Meteorology and Climate Science       (Followers: 19) Weatherwise       (Followers: 18) Dynamics of Atmospheres and Oceans       (Followers: 18) Weather and Climate Extremes       (Followers: 17) Global Meteorology       (Followers: 17) Economics of Disasters and Climate Change       (Followers: 17) Atmosphere-Ocean       (Followers: 15) Atmospheric Chemistry and Physics Discussions (ACPD)       (Followers: 14) Monthly Notices of the Royal Astronomical Society       (Followers: 14) Theoretical and Applied Climatology       (Followers: 13) Climate Risk Management       (Followers: 12) Advances in Statistical Climatology, Meteorology and Oceanography       (Followers: 11) Journal of Hydrometeorology       (Followers: 9) Atmospheric and Oceanic Science Letters       (Followers: 9) Climate Research       (Followers: 8) The Cryosphere (TC)       (Followers: 8) Climate Law       (Followers: 7) Climate and Energy       (Followers: 7) Climate of the Past (CP)       (Followers: 7) Journal of the Meteorological Society of Japan       (Followers: 7) Aeolian Research       (Followers: 7) Dynamics and Statistics of the Climate System       (Followers: 6) Journal of Climate Change and Health       (Followers: 6) Oxford Open Climate Change       (Followers: 6) Climate       (Followers: 6) Carbon Balance and Management       (Followers: 6) Open Journal of Modern Hydrology       (Followers: 5) Bulletin of Atmospheric Science and Technology       (Followers: 5) Journal of Integrative Environmental Sciences       (Followers: 4) Meteorologische Zeitschrift       (Followers: 4) npj Climate and Atmospheric Science       (Followers: 4) Acta Meteorologica Sinica       (Followers: 4) Meteorological Applications       (Followers: 4) Frontiers in Climate       (Followers: 4) Urban Climate       (Followers: 4) Open Atmospheric Science Journal       (Followers: 4) Climate Services       (Followers: 4) Russian Meteorology and Hydrology       (Followers: 3) Journal of Meteorological Research       (Followers: 3) International Journal of Image and Data Fusion       (Followers: 3) Environmental and Climate Technologies       (Followers: 3) Journal of Weather Modification       (Followers: 3) International Journal of Biometeorology       (Followers: 3) Journal of Climatology       (Followers: 3) Atmospheric Environment : X       (Followers: 3) GeoHazards       (Followers: 2) Atmósfera       (Followers: 2) Meteorologica       (Followers: 2) 气候与环境研究       (Followers: 2) Mediterranean Marine Science       (Followers: 2) Studia Geophysica et Geodaetica       (Followers: 1) Weather and Climate Dynamics       (Followers: 1) Modeling Earth Systems and Environment       (Followers: 1) Nīvār       (Followers: 1) Climate of the Past Discussions (CPD)       (Followers: 1) Tropical Cyclone Research and Review       (Followers: 1) Ciencia, Ambiente y Clima       (Followers: 1) Revista Iberoamericana de Bioeconomía y Cambio Climático       (Followers: 1) Earth Perspectives - Transdisciplinarity Enabled       (Followers: 1) Michigan Journal of Sustainability       (Followers: 1) Meteorological Monographs       (Followers: 1) Journal of Agricultural Meteorology Mètode Science Studies Journal : Annual Review
Similar Journals
 Russian Meteorology and HydrologyJournal Prestige (SJR): 0.206 Number of Followers: 3      Hybrid journal (It can contain Open Access articles) ISSN (Print) 1934-8096 - ISSN (Online) 1068-3739 Published by Springer-Verlag  [2469 journals]
• Erratum to: “In Search of an X Factor: A Review of Publications on the
Issue of Dark-needled Forest Decline/Dieback in Northern Eurasia”

Abstract: An Erratum to this paper has been published: https://doi.org/10.3103/S1068373922060097
PubDate: 2022-06-01

• Impact of Global Warming on River Inflow to the Arctic Seas

Abstract: An impact of global warming on river runoff into the Arctic seas is discussed. River runoff is one of the main components of the Arctic freshwater balance. Annual total river runoff is determined as the sum of runoff of six rivers: the Ob, Yenisei, Lena, Kolyma, Indigirka, and Mackenzie. The indices of zonal, meridional, and general circulation were calculated to assess the effect of atmospheric circulation. Correlations between the indices and surface air temperature and precipitation in the catchment areas confirmed the most significant influence of atmospheric transport on climatic conditions in the cold season. It was stated that annual total river runoff increased during 1979–2019, but the occurrence of peak discharges was reduced.
PubDate: 2022-06-01

• Statistical Aspects of Quantitative Estimation of Polar Amplification.
Part 1: The Ratio of Trends

Abstract: Statistical aspects of the quantitative estimation of the climate change polar amplification (PA) are considered. A theoretical study is provided of the distribution density for the PA sample coefficient defined as the ratio of the linear trend coefficients of spatially averaged surface air temperature. It is shown that heavy tails of the distribution lead to instability of the PA sample estimates. A statistically valid quantification of the PA can be obtained from the results of the ensemble modeling of climate change based on the Fieller’s method. The applicability of the method in the case of a non-stationary climate system response to external forcing is considered.
PubDate: 2022-06-01

• Levels and Nature of Hydrocarbons in the Surface Water Suspension and
Bottom Sediments of the Kerch Strait

Abstract: The results of studying the concentration and composition of hydrocarbons in the suspension of surface water and in the surface layer of bottom sediments in the Kerch Strait in July 2020 in comparison with 2019 and with earlier studies in other regions of the Black Sea are presented. Despite the high concentrations of aliphatic hydrocarbons (especially in the water of the strait (on average 78  $$\mu$$ g/L) and in coarse-grained sediments (47  $$\mu$$ g/g), the composition of alkanes did not correspond to the oil composition due to the rapid transformation of petroleum aliphatic hydrocarbons. The factor analysis revealed that the pollution has two sources: the main, pyrogenic (from transport) and, to a lesser extent, the oil one.
PubDate: 2022-06-01

• Wind Energy Potential in the Arctic and Subarctic Regions and Its
Projected Change in the 21st Century Based on Regional Climate Model
Simulations

Abstract: Quantitative estimates of changes in wind energy resources in the Arctic were obtained using the RCA4 regional climate model under the RCP4.5 and RCP8.5 climate change scenarios for 2006–2099. The wind power density proportional to cubic wind speed was analyzed. The procedure for the model near-surface wind speed bias correction using ERA5 data as a reference with subsequent extrapolation of wind speed to the turbine height was applied to estimate the wind power density (WPD). According to the RCA4 simulations for the 21st century under both anthropogenic forcing scenarios, a noticeable increase in the WPD was noted, in particular, over the Barents, Kara, and Chukchi seas in winter. In summer, a general increase in the WPD is manifested over the Arctic Ocean. The changes are more significant under the RCP8.5 scenario with high anthropogenic forcing for the 21st century. According to model projections, an increase in the interdaily WPD variations does not generally lead to the deviations of wind speed to the values at which the operation of wind generators is unfeasible.
PubDate: 2022-06-01

• Using Radar Data for Grain Crops Yield Forecasting in the Novosibirsk
Region

Abstract: The possibility is considered of using data of the Sentinel-1B radar satellite in agriculture, in particular, for the crop monitoring and grain crop yield forecasting. For this purpose, based on satellite data, the Radar Vegetation Index RVI was calculated. The values of RVI obviously indicate the dynamics of the development of such crops as spring wheat, oat, and barley. The correlation and regression analysis of the relationship between the normalized difference vegetation index NDVI and RVI revealed the presence of a significant dependence between the indices. The normalized radar vegetation index NRVI was calculated to use radar data in predicting the expected yield. As a part of the experiment, yield forecasts at the farm in the Kochenevo district (the Novosibirsk region) for the 2018 and 2019 growing seasons were calculated. The calculation results showed the yield forecast accuracy above 90%, which allowed the use of NRVI in the 2020 operational activities.
PubDate: 2022-06-01

• Application of the COSMO-Ru System for Aircraft Icing Prediction over the
Russian Federation Area

Abstract: A method is proposed for in-flight icing prediction up to 12 hours based on the output of the COSMO-Ru configuration of the COSMO model with a grid step of 6.6 km for the Russian Federation area. The calculation of the simplified forecast icing potential (SFIP) using model microphysics data versus AIREP Speci information allowed determining a threshold value of  $$\mathrm{SFIP}\ge0.2$$ , the exceeding of which is an icing criterion. A good agreement was found between the icing zones obtained by SFIP and the areas identified according to the condition  $$-16\,^\circ\mathrm{C} \le T \le 0\,^\circ\mathrm{C}$$ ,  $$RH \ge 85\%$$ . To distinguish severe icing, it is proposed to use the values of model liquid water content exceeding 0.4 g/kg
PubDate: 2022-06-01

• Changes in Runoff and Nutrient Removal by Small Tributaries of the Gulf of
Finland as a Result of Possible Regional Climate Change

Abstract: Using the methods of mathematical modeling, changes in runoff and a related removal of nutrients from three small tributaries of the Gulf of Finland as a result of possible regional climate change in the 21st century are projected. The RCP 2.6 and RCP 8.5 are considered as climatic scenarios: these are the best and the worst scenarios in terms of environmental forcing, respectively. It is shown that the RCP 8.5 will lead to an increase in river runoff by not more than 25% relative to 2006–2015. The RCP 2.6 will result in a 6% reduction in runoff. Real climate changes are likely to follow an intermediate scenario. Consequently, the projection of the climate change consequences will be in the interval between the resulting extreme estimates, and extreme changes in the hydrological regime of the catchments of small rivers and corresponding changes in the nutrient removal should not be expected in the region under consideration.
PubDate: 2022-06-01

• Analysis of Wind-wave Characteristics of the Caspian Sea Based on
Reanalysis Data

Abstract: The article considers the nature of the spatiotemporal distribution of the frequency of winds of different directions in the Azerbaijani sector of the Caspian Sea based on the data for 2003–2008. It also analyzes the frequency and occurrence of winds of different speeds, including storms, for individual observation points. Some statistical characteristics of windstorms for individual points are provided. The study has compiled a calibration curve, which provides assessing the stormy situation in the analyzed sector of the Caspian Sea based on the reanalysis data.
PubDate: 2022-06-01

• Modeling Evolution of Drought Conditions in the 21st Century to
Substantiate Measures for Adaption of Russian Agriculture to Climate
Impacts

Abstract: The spatiotemporal evolution of actual and potential evapotranspiration and water deficit (stress) of the irrigated surfaces during the 21st century influenced by the changes in the meteorological drought characteristics is analyzed for the southern regions of European Russia for individual months of the growing season. The joint system of the MGO regional climate model and the mesoscale atmospheric boundary layer model is used to estimate regional and local climate change. The effect of the evapotranspiration evaluation method on the resulting estimates is investigated. The expansion of the territory affected by droughts of various severity is projected for all months of the growing season. It is shown that the major risk for vegetation due to water deficit during droughts may be expected at the beginning of the growing season.
PubDate: 2022-05-01

• Projected Changes in Rare Precipitation Extremes: Results of Regional
Climate Modeling for the Territory of Russia

Abstract: The problem is considered of estimating expected climatic changes over the territory of Russia in relation to the characteristics of rare precipitation extremes, which are widely used in designing various structures and technical systems. Based on numerous ensemble experiments with a high-resolution regional climate model and the extreme value modeling approach, future changes in the intensity and frequency of rare extremes for seasonal and annual 1- and 5-day precipitation maxima are analyzed. Particular attention is paid to the uncertainty of the projections on various timescales. Important spatial peculiarities of changes in the analyzed rare precipitation extremes are identified, which is reasonable to take into account when adapting to climate change at the regional level.
PubDate: 2022-05-01

• In Search of an X Factor: A Review of Publications on the Issue of
Dark-needled Forest Decline/Dieback in Northern Eurasia

Abstract: A critical review of contemporary publications searching for the causes of the decline/dieback of dark-needled forests in the boreal and temperate zones over Northern Eurasia with an emphasis on the southern Siberian mountains is presented. Three groups of factors were considered: primary abiotic factors that weaken the tree defense mechanism (climate aridization, total ozone column, ultraviolet radiation (UV-B), dimming), anthropogenic factors (air pollution), and secondary biotic factors (invasive insect pests and phytopatogens that inhabit weakened trees, which finally leads to their decline/dieback). As there is no irrefutable evidence of the fatal impact of one particular factor, a synergic effect of some of them is possible against a certain climatic background. Further investigations are necessary to find out causes for the dark-needled forest decline/dieback in Northern Eurasia.
PubDate: 2022-05-01

• Spatiotemporal Structure of Runoff Fields in the Don River Basin in a
Changing Climate

Abstract: Changes in the spatial structure of runoff fields in the Don River basin due to the revealed non-stationarity of the hydrological regime are investigated. It is shown that the spatial correlation of the spring flood runoff layers, winter and summer-autumn low runoff, as well as snow storage have changed significantly. The chaotic pattern of the spatial correlation was gained, as a result of which the fields of the studied runoff characteristics became heterogeneous and anisotropic.
PubDate: 2022-05-01

• Possible Climate Change in Russia in the 21st Century Based on the
INM-CM5-0 Climate Model

Abstract: Possible climate changes in Russia during the 21st century are considered based on the INM-CM5-0 climate model. According to the SSP3-7.0 scenario, the warming by 5–8°C in winter and by 3–4.5°C in summer are expected in Russia at the end of the 21st century. Minimum annual temperatures will rise faster than winter mean ones. Maximum annual temperatures will rise faster that summer mean ones. An increase in precipitation will occur across Russia in winter, while its decrease is expected in southern and central European Russia and in the south of Western Siberia in summer. The contribution of light precipitation will decrease, while the contribution of heavy and very heavy precipitation will increase. An increase in annual mean river runoff and a decrease in upper soil moisture in summer are expected nearly everywhere in Russia.
PubDate: 2022-05-01

• Atmospheric Severe Convective Events in Russia: Changes Observed from
Different Data

Abstract: Changes in the frequency and intensity of atmospheric severe convective events, including heavy rainfall, thunderstorm, hailstorm, squall, and tornado, in the Russian regions during the warm season are analyzed using different independent sources of information. Based on observations at Russian weather stations in 1966–2020, the frequency of thunderstorm, hailstorm, and strong wind, the contribution of extreme showers to total precipitation, and the cumulonimbus cloud fraction are estimated. Based on satellite data, the frequency and intensity of tornado and squall events that caused windthrows for 1986–2021 and the height of the top of deep convective clouds for 2002–2021 are also evaluated. The ERA5 reanalysis data are used to analyze the frequency of conditions favorable for the development of moderate and intense severe convective events in 1979–2020. The results indicate a general intensification of severe convective events in most Russian regions, except for a number of regions in the south of the European part of Russia. The frequency of moderate hazards has a decreasing trend, and the frequency of the most intense severe hazards has an increasing trend. It is reasonable to take the results into account when developing plans for the adaptation of Russian regions and industries to climate change.
PubDate: 2022-05-01

• Bayesian Projections of the Amur and Selenga River Runoff Changes in the
21st Century Based on CMIP6 Model Ensemble Simulations

Abstract: The analysis is carried out for changes in runoff of the Amur and Selenga rivers in the 21st century according to the CMIP6 (Coupled Model Intercomparison Project, Phase 6) climate model ensemble simulations using the Bayesian approach versus stream gage data on annual runoff and GPCP-2.3 dataset on annual precipitation over catchments on different timescales. For both catchments, significant intermodel differences are associated with the projections of multiyear mean runoff and interannual variability. The intermodel distribution of Bayesian weights indicates a high role of uncertainty related to initial conditions for model simulations. There is a positive trend in total runoff in the Amur River basin in the 21st century under all analyzed anthropogenic forcing scenarios. For total runoff of the Selenga River, there are no trends in the 21st century for all analyzed scenarios. No significant trends for the Amur and Selenga surface runoff were revealed for all algorithms for considering Bayesian weights and all anthropogenic forcing scenarios. At the same time, significant interdecadal variations in the interannual variability of runoff were found.
PubDate: 2022-05-01

• Anomalous Winter and Summer Weather Patterns over Russia in the 21st
Century as Simulated by CMIP6 Models

Abstract: The recent studies relevant to cold winter atmospheric anomalies in the Northern Hemisphere are briefly reviewed, and causes for their development and possible connections with the Arctic amplification of warming are discussed. An expected frequency of occurrence of anomalous air temperature and precipitation patterns is evaluated over Northern Eurasia in the 21st century under conditions of anthropogenic growth in the atmospheric greenhouse gas concentration. The evaluation was carried out using a multi-model ensemble consisting of nine CMIP6 climate models with two scenarios of greenhouse gas forcing. The analysis revealed that warm and wet winters with frequent 0°C crossing would be more frequent in Russia by the middle of the 21st century. Unfavorable conditions may result from more frequent summer hot and dry patterns in the regions of advanced farming and increased wildfires in the European part of Russia and Western Siberia. The most negative consequences of climate change may be associated with an implementation of the rough SSP5-8.5 forcing scenario at the end of the 21st century.
PubDate: 2022-05-01

• Sustainability of Arctic Ecosystems in a Changing Climate

Abstract: Observations indicate that climate change has already affected Arctic ecosystems. Their sustainability in the 21st century was assessed by analyzing climate projections and providing permafrost and vegetation model simulations. The testing of 27 CMIP6 climate models revealed 19 top-ranked models that reproduce observed climate change in the Arctic with small errors. A region-optimized ensemble projection was constructed on their basis. The vegetation and permafrost sustainability indices were developed for climate change conditions, model simulations were performed, and digital maps of the indices were constructed. They allow assessing investment risks in the projects of socioeconomic and infrastructural development in the Arctic under conditions of changing climate.
PubDate: 2022-05-01

• Criteria to Identify Polar Lows

Abstract: The cases of polar lows (PLs) over the Norwegian and Barents seas in 2013, in the vicinity of Severnaya Zemlya in 2015, and in the near-edge zone of the Laptev Sea in 2021 were analyzed using the reanalysis and the WRF-ARW model simulations. A combination of criteria was selected that are sufficient for identifying PLs and analyzing their size and intensity in a convenient and understandable form. These criteria are the estimates of helicity as an integral characteristic related to integral vortex formations and a kinematic vorticity number. Such criteria can be used to simplify the time-consuming procedure for collecting primary data on PL cases for machine learning.
PubDate: 2022-04-01
DOI: 10.3103/S1068373922040021

• Features of Development of a Supercell Convective Cloud at the Stage of
Maximum Lightning Activity (August 19, 2015, the North Caucasus)

Abstract: The development of a powerful supercell cloud is considered, from which large hail and a shower of catastrophic intensity have fallen for a long time. The analysis of radar and lightning-detection characteristics showed the presence of local extremes of intensity and currents of cloud-to-cloud and cloud-to-ground lightning discharges and allowed evaluating areas and intensities of hail, as well as cloud volumes with ice graupels of low and high density. The maximum values of thunderstorm characteristics occurred 1.5 hours after the mass and volume of the cloud with low-density graupels had reached their maxima. The maximum mass and volume of high-density graupels, the intensity and area of hail were reached approximately 2 hours later than the maximum thunderstorm characteristics.
PubDate: 2022-04-01
DOI: 10.3103/S1068373922040070

JournalTOCs
School of Mathematical and Computer Sciences
Heriot-Watt University
Edinburgh, EH14 4AS, UK
Email: journaltocs@hw.ac.uk
Tel: +00 44 (0)131 4513762