Weather Types Research Articles

A Revised Bourgouin Precipitation-Type Algorithm

AbstractUsing vertical temperature profiles obtained from upper-air observations or numerical weather prediction models, the Bourgouin technique calculates areas of positive melting energy and negative refreezing energy for determining precipitation type. Energies are proportional to the product of the mean temperature of a layer and its depth. Layers warmer than 0°C consist of positive energy; those colder than 0°C consist of negative energy. Sufficient melting or freezing energy in a layer can produce a phase change in a falling hydrometeor. The Bourgouin technique utilizes these energies to determine the likelihood of rain (RA) versus snow (SN) given a surface-based melting layer and ice pellets (PL) versus freezing rain (FZRA) or RA given an elevated melting layer. The Bourgouin approach was developed from a relatively small dataset but has been widely utilized by operational forecasters and in postprocessing of NWP output. Recent analysis with a larger dataset suggests ways to improve the original technique, especially when discriminating PL from FZRA or RA. This and several other issues are addressed by a modified version of the Bourgouin technique described in this article. Additional enhancements include use of the wet-bulb profile rather than temperature, a check for heterogeneous ice nucleation, and output that includes probabilities of four different weather types (RA, SN, FZRA, PL) rather than the single most likely type. Together these revisions result in improved performance and provide a more viable and valuable tool for precipitation-type forecasts. Several National Weather Service forecast offices have successfully utilized the revised tool in recent winters.

Unprecedented Migratory Bird Die-Off: A Citizen-Based Analysis on the Spatiotemporal Patterns of Mass Mortality Events in the Western United States.

Extensive, severe wildfires, and wildfire‐induced smoke occurred across the western and central United States since August 2020. Wildfires resulting in the loss of habitats and emission of particulate matter and volatile organic compounds pose serious threatens to wildlife and human populations, especially for avian species, the respiratory system of which are sensitive to air pollutions. At the same time, the extreme weather (e.g., snowstorms) in late summer may also impact bird migration by cutting off their food supply and promoting their migration before they were physiologically ready. In this study, we investigated the environmental drivers of massive bird die‐offs by combining socioecological earth observations data sets with citizen science observations. We employed the geographically weighted regression models to quantitatively evaluate the effects of different environmental and climatic drivers, including wildfire, air quality, extreme weather, drought, and land cover types, on the spatial pattern of migratory bird mortality across the western and central US during August‐September 2020. We found that these drivers affected the death of migratory birds in different ways, among which air quality and distance to wildfire were two major drivers. Additionally, there were more bird mortality events found in urban areas and close to wildfire in early August. However, fewer bird deaths were detected closer to wildfires in California in late August and September. Our findings highlight the important impact of extreme weather and natural disasters on bird biology, survival, and migration, which can provide significant insights into bird biodiversity, conservation, and ecosystem sustainability.

Microbial linkages to soil biogeochemical processes in a poorly drained agricultural ecosystem

Soil microorganisms mediate biogeochemical processes, but how microbial community composition influences these processes remains contested. We combined monthly sequencing of soil 16S rRNA genes and intensive measurements of nitrogen (N), carbon (C), and iron (Fe) cycling along a topographic gradient in a poorly drained intensive agricultural ecosystem (corn–soybean rotation) in the midwestern United States. Observed microbial composition changed little over time within and among years despite large differences in weather and crop type. Yet, microbial composition varied greatly with topographic location and correlated strongly with moisture, soil organic carbon (SOC), and especially pH. Microbial families, genera, and/or amplicon sequence variants often correlated significantly with measured biogeochemical processes or pools, yet different taxa within the same phylogenetic groups often responded in opposite ways, indicating a lack of ecological coherence among close relatives. Dominant phyla were generally similar across the topographic gradient but specific members showed consistent tradeoffs among locations. Ammonia oxidizing archaea and bacteria sequences varied oppositely with pH across the gradient, but their combined relative abundances remained similar, as did potential nitrification rates. Nitrospira sequences correlated positively with nitrous oxide (N2O) fluxes, suggesting a direct or indirect contribution of nitrification (or possibly comammox) to N2O production. We also found significant linkages between taxonomic groups and redox-sensitive Fe pools, indicating a role for redox variation in structuring microbial communities. Several globally dominant bacteria identified previously correlated significantly with measured biogeochemical variables, providing insights into their possible functional roles. Overall, microbial composition provided a coarse measure of several key biogeochemical functions and implicated taxa that possibly mediate these processes in a widespread agroecosystem of North America.

Spatiotemporal variation in urban overheating magnitude and its association with synoptic air-masses in a coastal city

Urban overheating (UO) may interact with synoptic-scale weather conditions. The association between meteorological parameters and UO has already been a subject of considerable research, however, the impact of synoptic-scale weather conditions on UO magnitude, particularly in a coastal city that is also near the desert landmass (Sydney) has never been investigated before. The present research examines the influence of synoptic-scale weather conditions on UO magnitude in Sydney by utilizing the newly developed gridded weather typing classification (GWTC). The diurnal, and seasonal variations in suburban-urban temperature contrast (ΔT) in association with synoptic-scale weather conditions, and ΔT response to synoptic air-masses during extreme heat events are investigated in three zones of Sydney. Generally, an exacerbation in UO magnitude was reported at daytime over the years, whereas the nocturnal UO magnitude was alleviated over time. The humid warm (HW), and warm (W) air-masses were found primarily responsible for exacerbated daytime UO during extreme heat events and in all other seasons, raising the mean daily maximum ΔT to 8–10.5 °C in Western Sydney, and 5–6.5 °C in inner Sydney. The dry warm (DW), and W conditions were mainly responsible for urban cooling (UC) at nighttime, bringing down the mean daily minimum ΔT to − 7.5 to − 10 °C in Western Sydney, and − 6 to − 7.5 °C in inner Sydney. The appropriate mitigation technologies can be planned based on this study to alleviate the higher daytime temperatures in the Sydney suburbs.

Effects of circulation weather types on influenza hospital admissions in Spain.

In this study, we use a statistical approach based on generalized additive models, linking atmospheric circulation and the number of influenza-related hospital admissions in the Spanish Iberian Peninsula during 2003-2013. The relative risks are estimated for administrative units in the Spanish territory, which is politically structured into 15 regions called autonomous communities. A catalog of atmospheric circulation types is defined for this purpose. The relationship between the exposure and response variables is modeled using a distributed lag nonlinear model (DLNM). Types from southwest and anticyclonic are significant in terms of the probability of having more influenza-related hospital admissions for all of Spain. The heterogeneity of the results is very high. The relative risk is also estimated for each autonomous community and weather type, with the maximum number of influenza-related hospital admissions associated with circulation types from the southwest and the south. We identify six specific situations where relative risk is considered extreme and twelve with a high risk of increasing influenza-related hospital admissions. The rest of the situations present a moderate risk. Atmospheric local conditions become a key factor for understanding influenza spread in each spatial unit of the Peninsula. Further research is needed to understand how different weather variables (temperature, humidity, and sun radiation) interact and promote the spread of influenza.

Disparities of weather type and geographical location in the impacts of temperature variability on cancer mortality: A multicity case-crossover study in Jiangsu Province, China

BackgroundConsidering the serious health burden caused by adverse weather events, increasing researches focused on the relationship between temperature variability (TV) and cause-specific mortality, but its association with cancer was not well explored. We aimed to investigate the impacts of TV on cancer mortality and examine the modifying effects of weather type and geographical location as well as other characteristics. Materials and methodsDaily city-specific data of cancer deaths, mean temperature (Tmean), maximum and minimum temperatures (Tmax and Tmin), relative humidity (RH), rainfall, and air pollutants were collected during 2016–2017 in 13 cities in Jiangsu Province, China. TV0-t was defined as the standard deviation of the daily Tmax and Tmin on the exposure 0-t days. A two-stage analysis was applied. First, a time-stratified case-crossover design was used to examine the odds ratio (OR) and attributable fraction of cancer mortality per 1 °C increase in TV by adjusting for potential confounders. Random effect meta-analysis was used to summarize the pooled ORs. Second, stratified analysis was performed for weather type, geographical location, demographics, and other city-level characteristics. The weather was defined as four types according to days during warm or cold season combined with high or low RH. ResultsA total of 303670 cases were included in our study. Meta-analysis showed that the ORs of cancer mortality per 1 °C increase in TV0-t significantly increased and peaked in TV0-2 (OR=1.0098, 95% CI: 1.0039–1.0157). The attributable fraction of TV0-2 on cancer mortality was 4.74%, accounting for 14395 deaths in the study period. Significant ORs of TV-related cancer mortality were found during the warm season combined with high RH and in the northern region of Jiangsu. Susceptible groups of TV-related cancer mortality were identified as female patients, patients aged 45–65 years, and those living in cities with lower per capita green area. ConclusionsTV can significantly increase the risk of cancer mortality, especially during warm and humid days and in the northern region of Jiangsu. Findings are of great significance to formulate urban planning, resource allocation, and health intervention to prolong the life of cancer patients.

Regional Climate Model Biases, Their Dependence on Synoptic Circulation Biases and the Potential for Bias Adjustment: A Process‐Oriented Evaluation of the Austrian Regional Climate Projections

AbstractThe Austrian regional climate projections are based on an ensemble of bias adjusted regional climate model simulations. Bias adjustment (BA) improves the usability of climate projections for impact studies, but cannot mitigate fundamental model errors. This argument holds in particular for biases in the temporal dependence, which is strongly influenced by the large‐scale circulation. Global climate models (GCMs), underlying regional climate projections, suffer from substantial circulation errors. We therefore, conduct a process‐based evaluation of the Austrian climate projections focusing on large‐scale circulation errors, their regional imprints and the potential for BA. First, we define nine synoptic weather types and assess how well the considered climate models represent their occurrence and persistence. Second, we assess biases in the overall dry and hot day probabilities, as well as conditional on synoptic weather type occurrence; and biases in the duration of dry and hot spells. Third, we investigate how these biases depend on biases in the occurrence and persistence of relevant synoptic weather types. And fourth, we study how much an overall BA improves these biases. Many GCMs misrepresent the occurrence and persistence of relevant synoptic weather types. These biases have a clear imprint on biases in dry and hot day occurrence and spell durations. BA in many cases helps to greatly reduce biases even in the presence of circulation biases, but may in some cases amplify conditional biases. Persistence biases are especially relevant for the representation of meteorological drought. Biases in the duration of dry spells cannot fully be mitigated by BA.

Weathering the Weather: Does Extreme Weather Affect the Cost and Delay of an Audit?

We examine the impact of extreme weather events on the cost of an audit. We measure impact as the number of days per year a firm experiences an extreme weather event of any type (e.g., drought, floods, storms, wildfires) in its metropolitan statistical area (MSA). We first find that auditors charge significantly higher fees for firms exposed to more extreme weather days in the past, suggesting that auditors consider previous extreme weather risk exposure a material business risk. No one weather type dominates this finding. Second, auditors charge higher fees for firms experiencing abnormal increases in extreme weather days contemporaneously. This positive relation also strengthens for unanticipated weather events occurring after the fiscal yearend but before the audit report date. Third, we find that extreme weather events generate significantly higher audit fees when the auditor and the client locate in the same MSA.

Micromorphological Characteristic of Different-Aged Cryosols from the East Part of Lena River Delta, Siberia, Russia

Micromorphological investigation of soils is a powerful tool for studying the transformation of soils under the influence of various weathering mechanisms. In the Arctic region, under the influence of seasonal freezing/thawing processes, cryohydration is the leading type of weathering. Soils of different-aged islands of the Lena River Delta were investigated. Thin sections of soils were analyzed using a polarizing microscope Leica DM750P (Leica Camera AG, Wetzlar, Germany). X-ray fluorescence analysis was used to determine the chemical composition of the soils. As a result of the work, the rate of weathering of soil minerals was estimated, soil fabric was considered, as well as the chemical composition of the soil. The accumulation of poorly sorted circular striated sand due to active influence of the Lena River was noted on young soil from Samoylov isl. The formation of biogenic sand-silt crumb aggregates was noted at more ancient sites. Physical weathering of soil minerals under the influence of cryogenic processes has been noted.

Greenhouse gases drove the increasing trends in spring precipitation across the central USA.

The central USA experienced major flooding during spring 2019, with both the Missouri and Mississippi Rivers at major flood stage at several locations, causing levees to breach and widespread flooding. Here, we examine the total precipitation responsible for the spring 2019 flooding across the central USA from the perspective of weather types. We focus on the weather type (referred to as 'Midwest Water Hose' (MWH) (Zhang and Villarini. 2019 Climate Dynamics 53, 4217-4232. (doi:10.1007/s00382-019-04783-4))) that contributes the most to the total precipitation across the central USA. This weather type contributed to more than 70% of the total precipitation received across much of this region during January-May 2019, and it has been occurring increasingly frequently over the past 40 years. Furthermore, we found that climate model experiments with the historical change of greenhouse gas concentration can well reproduce the observed rising trend, while this is not the case for the natural forcing experiments. Therefore, the rising trend and the high frequency of the MWH can be mainly attributed to the rising greenhouse gases caused by human activities, rather than natural forcing. This article is part of a discussion meeting issue 'Intensification of short-duration rainfall extremes and implications for flash flood risks'.

Association of Air Pollution Levels to Atmospheric Weather Regimes over Europe

The ability to link air pollution to weather regimes may help municipalities to activate in advance plans to protect citizens from severe episodes of air pollution. The aim of this work was to associate the atmospheric circulation patterns and air pollution over Berlin using observational data from three air quality monitoring stations (Urban, Suburban and Traffic stations) during the period January 1990 to December 2002, with weather type’s classifications issued in the frame of the European Cooperation in Science and Technology project (COST733). Results obtained in this work shows similar higher ozone (O3) concentrations and weather regime type during the summer season for both the three stations and the two cluster methods used viz. Self-Organizing Maps (SOM) and cluster analysis of principal components (CAP). The highest concentration level of ozone was observed in the suburban station. High pollution that occurred from the particulate matter (PM10) was observed in the urban station during the winter season. The highest nitrogen dioxide (NO2) value was observed in the traffic station during the spring season. However, the traffic station is probably not a very good indicator of the sensitivity of air quality in meteorology, because it is too much affected by local sources.

Climatology and ranking of hazardous precipitation events in the western Mediterranean area

The western Mediterranean region often suffers from the devastating effects of flooding, caused by enormous rain accumulations that sometimes resemble the values produced by tropical systems. Despite the climatic and social relevancy of this type of episodes, there are some fundamental questions that would still be difficult to answer today, for example: where within the region are more cases recorded? or, which were the most potentially dangerous episodes? In this study, we identify, and then gather and unify information from, all the daily events occurred from 1980 to 2015. Using the MESCAN high-resolution gridded rainfall dataset, events are detected and for each case, the date and affected regions are recorded. Subsequently, events are ranked according to their magnitude and classified by weather type. In addition, flood data from the FLOODHYMEX and EM-DAT databases are used to check whether the precipitation episodes resulted in flooding. All this information is collected into a publicly available single database. Results show that the highest number of events per year is recorded in the Languedoc-Roussillon region (France) and in the Valencian Community (Spain). The cases of greatest magnitude, which are associated with a larger number of floods, present a very marked seasonality, with about 80% of them occurring in September, October and November. Finally, we show that only four weather types are present in most of the days with hazardous rainfall in the western Mediterranean. The most hazardous situation is characterized by a low-pressure area at all tropospheric levels in the eastern Atlantic, forming a block pattern with an anticyclonic ridge that tends to extend from the Central Mediterranean to Central Europe. About 40% of the most extraordinary cases are associated with this configuration. As an example, the infamous Piedmont (Italy) 1994 episode, in the top 10 of the ranking, was produced by an atmospheric pattern of this type.

Photovoltaic power missing data filling based on multiple matching and long‐ and short‐term memory network

To address the problem of data missing caused by equipment faults, abnormal transmission, and improper storage in data acquisition systems of photovoltaic (PV) power plants, we hereby propose a method for PV power missing data filling based on multiple matching and a long short-term memory network. First, test samples were divided into three different weather sequences according to the weather type. According to the missing data types, the test samples were divided into two major categories, namely partial missing and complete missing. Each resulting set continued to be divided into four subsets according to the missing proportion. Then, a 450-day data source with 15-minutes intervals was established. The maximal information coefficient was used to reduce the data source and the redundant data space. Finally, coupling meteorological factors were eliminated according to the mutual information theory. A relationship between meteorological factors and short-wave radiation was developed to improve multiple matching accuracy. The correctness of the proposed method and its validity were verified by filling missing power data from a PV power station in Jilin, China.

Extreme fine particulate matter events in Taiwan Island related to synoptic weather patterns

Extreme fine particulate matter (PM2.5) events heavily impact residents, incurring high social and medical costs. As such, it is important to understand the characteristics of extreme PM2.5 events. This study used hourly PM2.5 and meteorological data to elucidate the effects, and predict the occurrence of these extreme weather events in Taiwan. The results show that synoptic conditions are unique for extreme PM2.5 events. During the maximum mean PM2.5 concentrations, weather conditions in Taiwan were dominated by synoptic weather patterns and the north-easterly monsoon. The maximum mean surface air pressure indicator had also occurred at this time. The azimuth of the resultant surface air pressure was 36.8° + 7.6°, while 96.2% of winds were in the north-north-easterly and north-easterly direction. The back trajectories suggest that the cold continental high air pressure system introduced dry and cold air masses with PM2.5. The SImax (μg/m3/h), relative humidity (%), global solar radiation (MJ/m2), visibility (km), weather type I, and weather type II predictor variables of the multi-regression model accounted for 80.6% of the variance in the magnitude of maximum hourly PM2.5 events. Extreme PM2.5 events were related to synoptic weather characteristics including type, strength, and position. The new quantitative variables aid the development of an efficient alarm system for extreme PM2.5 events that will help protect public health.

FACILITIES AND INFRASTRUCTURE DESIGN OF BULAKSETRA MANGROVE EDU-ECOTOURISM, PANGANDARAN DISTRICT

Mangrove ecosystems in coastal areas play an important role in supporting physical, biological, and environmental economic functions. One of the alternatives to preserve the mangrove ecosystem is integrated area management. Bulaksetra Beach is a mangrove area located on the East Coast of Pangandaran which has the potential to be developed as an ecotourism area. The Edu-ecotourism area which combines conservation, education, research, and economy requires good and appropriate management. Analysis of land suitability, vegetation types and environmental conditions is important in making decisions and determining the feasibility of an area. Facilities and infrastructure are one of the elements and indicators that support the success of an Edu-ecotourism area. Observations on water conditions, types of mangrove vegetation, water substrate, weather and topography were carried out to determine the feasibility of developing facilities and infrastructure in the Bulaksetra area. The results showed that the Bulaksetra area was feasible to be developed into an Edu-ecotourism area with an average salinity measurement of 14 ppt, an average rainfall of 46.4 mm - 81.3 mm, a sandy mud substrate and a gentle topography. The zoning of the mangrove ecosystem was carried out based on the main mangrove vegetation in Bulaksetra, namely Avicennia alba and Rhizophora apiculata. The selection of vegetation in the landscape design is adjusted to the natural vegetation and topography in the Bulaksetra area. The supporting facilities for Bulaksetra Edu-ecotourism were designed include mangrove trekking, canoeing docks and mangrove galleries. Facilities are designed according to area size, landscape, and suitability of location. Further studies such as the selection of design and building materials, material costs, construction costs, operational costs and maintenance costs need to be carried out to determine the appropriate building construction. The development of Bulaksetra Edu-ecotourism facilities and infrastructure is expected to contribute to the development of the mangrove ecosystem so that it becomes a center for information, education, and conservation for the public, especially in Pangandaran Regency.

Is less always more? Conservation, efficiency and water education programs

Water scarcity and stress are not new phenomena for many regions around the world. Problems are exacerbated by growing populations, changing weather patterns and reduced water supplies, associated with longer run climatic change. To help mitigate the problems, consumer conservation programs, including education programs directed at outdoor water use, have been created. We analyze the impact of one such program - the “WaterSmart” workshop offered by the largest water utility in New Mexico located in the southwestern United States. The utility's objective was for residential customers to water to their landscape needs. We find the program's impact varied by time, weather, and customer type. The program reduced average household water use, with impacts decaying quickly up to a two-month lag. Further, while water use declined under mild drought conditions, it increased during extreme drought. Finally, water use always increased for low-usage households. These findings suggest that the program increased residential outdoor water use efficiency, while the conservation impact depended on weather conditions and household characteristics. This suggests that water shortages in the short run could be ameliorated or exacerbated, depending on conditions, as the trade-offs between efficient maintenance of urban vegetation and water saving are considered.

An eight-year climatology of the warm-season severe thunderstorm environments over North China

Using proximity soundings taken during the warm seasons (May–September) of 2011–2018 over North China, this work investigated the environments of severe thunderstorms that caused the following four types of convective hazards: only hail (H), only thunderstorm high winds (W), only short-duration heavy rainfall (R), and two or three types of the above three hazards (hybrid). The environments for non-severe thunderstorms and no-rain days were also studied for comparison. Soundings in each weather category were further classified into mountain and plain groups. A set of parameters was tested for skill in discriminating between various categories. Results indicate that the environments over the plains, compared with those over the mountains, are generally characterized by stronger instability, more moisture, and higher vertical wind shear. Over both mountains and plains, the precipitable water (PW) shows the greatest skill overall in discriminating between various categories; the instability parameters show considerable skill in discriminating between the severe thunderstorm, non-severe thunderstorm, and no-rain categories but rather limited skill in discriminating between the four severe thunderstorm categories; the wind shear parameters show very limited skill in discriminating between various categories; the lifting condensation level (LCL) distinguishes well the environments of no-rain and R from those of other categories; and the mid-tropospheric pseudo-equivalent potential temperature is the only parameter investigated here that shows utility in discriminating between H and W environments. Probability distributions in two-parameter spaces reveal that great variations exist regarding the environments under which different weather types are most likely to occur.

Two hundred years of thunderstorms in Oxford

Meteorological records commenced at the Radcliffe Observatory in Oxford in 1772. Detailed records of thunderstorm occurrence are available between 1828 and 1986; since 1986 a reliable private record of thunder frequency from Oxford has been used to extend the record to 2019, forming a record of almost 200 years of thunderstorm frequency for the city – a record probably unique anywhere in the world. This newly digitised record is examined for long-term (decadal) trends in thunderstorm frequency, and by Lamb Weather Type. Comparisons are made with other long-period records from West London, around 75km southeast of Oxford. Reasons to account for the marked reduction in thunderstorm frequency in the last decade are suggested.

Relation Between Atmospheric Circulation Patterns in the North Atlantic and the Sea States in the Iberian Peninsula

Abstract A statistical analysis of significant wave height (Hs) in a location offshore Portugal continental coast, Leixões, is performed. The spectral and parametric information of sea states at this point used in this analysis was obtained from a 21-year hindcast simulation using the spectral wave model simulating wave nearshore (SWAN) forced by wind fields produced by the Weather Research and Forecasting (WRF) model forced by the ERA-Interim reanalysis. The modeling of the climatic variability of directional spectra provides information of the shape of the expected directional spectra in the various sea states at these locations, i.e., how the spectral parameters and their probability of occurrence change in the regions studied. The occurrences of spectral classes are estimated, and for each class, the variability of the spectral parameters is described by means of joint distributions. The classification of the different sea states provides important information about the wave conditions present in the target areas. A relation between the sea states and the Lamb weather types (WTs) as well as a methodology for classifying atmospheric circulation patterns is presented in this study. The results of this study provide a description of the wave climate through demonstration of the interaction between sea states and weather patterns and relating different circulation patterns to different sea states. This study provides useful information on the wave conditions that can be utilized in the design of ocean engineering structures as well as in the assessment of the operability and safety of shipping and renewable energy devices.

Major ion chemistry of two cratonic rivers in the tropics: Weathering rates and their controlling factors

AbstractContinental weathering plays a dominant role in regulating the global carbon cycle, soil chemistry and nutrient supply to oceans. The CO2‐mediated silicate weathering acts as a major CO2 sink, whereas sulphuric acid‐mediated carbonate dissolution releases CO2 to the atmosphere–ocean system. In this study, dissolved major ions and silica concentrations of two tropical (Damodar and Subarnarekha) river systems from India have been measured to constrain the type and rate of chemical weathering for these basins. The total dissolved solids (TDS) of these rivers, a measure of total solute supply from all possible sources, are about 2–3 times higher than that of the global average for rivers. Mass balance calculations involving inverse modelling estimate that 63 ± 11% of total cations are derived from rock weathering, of which 27 ± 7% of cations are supplied through silicate weathering. The sulphide‐S concentrations are estimated by comparing the water chemistry of these two rivers with that of a nearby river (Brahmani) with similar lithology but no signatures of sulphide oxidation. The outflows of Damodar and Subarnarekha rivers receive 17% and 55% of SO4 through sulphide oxidation, respectively. The sulphide oxidation fluxes from the ore mining areas, such as upper Damodar (0.52 × 109 mol/yr) and lower Subarnarekha (0.66 × 109 mol/yr) basins, are disproportionally (~9 times) higher compared to their fractional areal coverage to the global drainage area. The corresponding CO2 release rate (2.84 × 104 mol/km2/yr) for the Damodar basin is lower by five times than its CO2 uptake rate (1.38 × 105 mol/km2/yr). The outcomes of this study underscore the dominance of sulphide oxidation in controlling the dissolved chemical (cationic and sulphur) fluxes.