Remote Sensing of Hydro-Meteorology

Flood/drought, risk management, and policy: decision-making under uncertainty. Hydrometeorological extremes and their impact on human–environment systems. Regional and nonstationary frequency analysis of extreme events. Detection and prediction of hydrometeorological extremes with observational and model-based approaches. Vulnerability and impact assessment for adaptation to climate change

Global high-resolution drought indices for 1981-2022

Droughts are among the most complex and devastating natural hazards globally. High-resolution datasets of drought metrics are essential for monitoring and quantifying the severity, duration, frequency and spatial extent of droughts at regional and particularly local scales. However, current global drought indices are available only at a coarser spatial resolution (>50 km). To fill this gap, we developed five high-resolution (5 km) gridded drought records based on the Standardized Precipitation Evaporation Index (SPEI) covering the period 1981–2022. These multi-scale (1–48 months) SPEI indices are computed based on monthly precipitation (P) from the Climate Hazards group InfraRed Precipitation with Station data (CHIRPS, version 2) and Multi-Source Weighted-Ensemble Precipitation (MSWEP, version 2.8) and potential evapotranspiration (PET) from the Global Land Evaporation Amsterdam Model (GLEAM, version 3.7a) and Bristol Potential Evapotranspiration (hPET). We generated four SPEI records based on all possible combinations of P and PET datasets: CHIRPS-GLEAM, CHIRPS-hPET, MSWEP-GLEAM, and MSWEP-hPET. These drought records were evaluated globally and exhibited excellent agreement with observation-based estimates of SPEI, root zone soil moisture, and vegetation health indices. The newly developed high-resolution datasets provide more detailed local information and be used to assess drought severity for particular periods and regions and to determine global, regional, and local trends, thereby supporting the development of site-specific adaptation measures. These datasets are publicly available at the Centre for Environmental Data Analysis (CEDA): https://dx.doi.org/10.5285/ac43da11867243a1bb414e1637802dec (Gebrechorkos et al., 2023)

Oceanic and terrestrial sources of continental precipitation

Author Posting. © American Geophysical Union, 2012. This article is posted here by permission of American Geophysical Union for personal use, not for redistribution. The definitive version was published in Reviews of Geophysics 50 (2012): RG4003, doi:10.1029/2012RG000389.The most important sources of atmospheric moisture at the global scale are herein identified, both oceanic and terrestrial, and a characterization is made of how continental regions are influenced by water from different moisture source regions. The methods used to establish source-sink relationships of atmospheric water vapor are reviewed, and the advantages and caveats associated with each technique are discussed. The methods described include analytical and box models, numerical water vapor tracers, and physical water vapor tracers (isotopes). In particular, consideration is given to the wide range of recently developed Lagrangian techniques suitable both for evaluating the origin of water that falls during extreme precipitation events and for establishing climatologies of moisture source-sink relationships. As far as oceanic sources are concerned, the important role of the subtropical northern Atlantic Ocean provides moisture for precipitation to the largest continental area, extending from Mexico to parts of Eurasia, and even to the South American continent during the Northern Hemisphere winter. In contrast, the influence of the southern Indian Ocean and North Pacific Ocean sources extends only over smaller continental areas. The South Pacific and the Indian Ocean represent the principal source of moisture for both Australia and Indonesia. Some landmasses only receive moisture from the evaporation that occurs in the same hemisphere (e.g., northern Europe and eastern North America), while others receive moisture from both hemispheres with large seasonal variations (e.g., northern South America). The monsoonal regimes in India, tropical Africa, and North America are provided with moisture from a large number of regions, highlighting the complexities of the global patterns of precipitation. Some very important contributions are also seen from relatively small areas of ocean, such as the Mediterranean Basin (important for Europe and North Africa) and the Red Sea, which provides water for a large area between the Gulf of Guinea and Indochina (summer) and between the African Great Lakes and Asia (winter). The geographical regions of Eurasia, North and South America, and Africa, and also the internationally important basins of the Mississippi, Amazon, Congo, and Yangtze Rivers, are also considered, as is the importance of terrestrial sources in monsoonal regimes. The role of atmospheric rivers, and particularly their relationship with extreme events, is discussed. Droughts can be caused by the reduced supply of water vapor from oceanic moisture source regions. Some of the implications of climate change for the hydrological cycle are also reviewed, including changes in water vapor concentrations, precipitation, soil moisture, and aridity. It is important to achieve a combined diagnosis of moisture sources using all available information, including stable water isotope measurements. A summary is given of the major research questions that remain unanswered, including (1) the lack of a full understanding of how moisture sources influence precipitation isotopes; (2) the stationarity of moisture sources over long periods; (3) the way in which possible changes in intensity (where evaporation exceeds precipitation to a greater of lesser degree), and the locations of the sources, (could) affect the distribution of continental precipitation in a changing climate; and (4) the role played by the main modes of climate variability, such as the North Atlantic Oscillation or the El Niño–Southern Oscillation, in the variability of the moisture source regions, as well as a full evaluation of the moisture transported by low-level jets and atmospheric rivers.Luis Gimeno would like to thank the Spanish Ministry of Science and FEDER for their partial funding of this research through the project MSM. A. Stohl was supported by the Norwegian Research Council within the framework of the WATER‐SIP project. The work of Ricardo Trigo was partially supported by the FCT (Portugal) through the ENAC project (PTDC/AAC-CLI/103567/2008).2013-05-0

Evaluation of Seasonal, Drought, and Wet Condition Effects on Performance of Satellite-Based Precipitation Data over Different Climatic Conditions in Iran

The Tropical Rainfall Measuring Mission (TRMM) and Global Precipitation Mission (GPM) are the most important and widely used data sources in several applications—e.g., forecasting drought and flood, and managing water resources—especially in the areas with sparse or no other robust sources. This study explored the accuracy and precision of satellite data products over a span of 18 years (2000–2017) using synoptic ground station data for three regions in Iran with different climates, namely (a) humid and high rainfall, (b) semi-arid, and (c) arid. The results show that the monthly precipitation products of GPM and TRMM overestimate the rainfall. On average, they overestimated the precipitation amount by 11% in humid, by 50% in semi-arid, and by 43% in arid climate conditions compared to the ground-based data. This study also evaluated the satellite data accuracy in drought and wet conditions based on the standardized precipitation index (SPI) and different seasons. The results showed that the accuracy of satellite data varies significantly under drought, wet, and normal conditions and different timescales, being lowest under drought conditions, especially in arid regions. The highest accuracy was obtained on the 12-month timescale and the lowest on the 3-month timescale. Although the accuracy of the data is dependent on the season, the seasonal effects depend on climatic conditions.Peer Reviewe

Ranking of gridded precipitation datasets by merging compromise programming and global performance index: a case study of the Amu Darya basin

Accurate representation of precipitation over time and space is vital for hydro-climatic studies. Appropriate selection of gridded precipitation data (GPD) is important for regions where long-term in-situ records are unavailable and gauging stations are sparse. This study was an attempt to identify the best GPD for the data-poor Amu Darya River basin, a major source of freshwater in Central Asia. The performance of seven GPDs and 55 precipitation gauge locations was assessed. A novel algorithm, based on the integration of a compromise programming index (CPI) and a global performance index (GPI) as part of a multi-criteria group decision-making (MCGDM) method, was employed to evaluate the performance of the GPDs. The CPI and GPI were estimated using six statistical indices representing the degree of similarity between in-situ and GPD properties. The results indicated a great degree of variability and inconsistency in the performance of the different GPDs. The CPI ranked the Climate Prediction Center (CPC) precipitation as the best product for 20 out of 55 stations analyzed, followed by the Princeton University Global Meteorological Forcing (PGF) and Climate Hazards Group Infrared Precipitation with Station (CHIRPS). Conversely, GPI ranked the CPC product the best product for 25 of the stations, followed by PGF and CHRIPS. Integration of CPI and GPI ranking through MCGDM revealed that the CPC was the best precipitation product for the Amu River basin. The performance of PGF was also closely aligned with that of CPC

Emerging Hydro-Climatic Patterns, Teleconnections and Extreme Events in Changing World at Different Timescales

This Special Issue is expected to advance our understanding of these emerging patterns, teleconnections, and extreme events in a changing world for more accurate prediction or projection of their changes especially on different spatial–time scales

Extreme weather and climate in Europe

This report describes the current scientific knowledge of extreme weather and climate events in Europe for the following variables: temperature, precipitation, hail, and drought (with the following types of drought: meteorological, hydrological and soil moisture). The content summarises key literature drawn from peer reviewed journals and other sources (business and government reports), and builds upon the synthesised results presented in international assessments such as IPCC reports. It describes the recorded observations and modelled projections for extreme events including definitions, frequency, trends, spatial and temporal distribution. The report also presents an overview of the indices used to characterise extreme events as well as their main uses, before going on to describe the datasets where they are recorded, and provides information on the strengths and weaknesses of the indices and the datasets. Extra consideration is given to indices that are relevant to socio-economic impacts resulting from climate change and relevant statistical techniques for analysing extreme events. Observed changes in global climate and extreme events provide the context to the changes in extreme events observed in Europe, which are described for much of the 20th century. Modelled projections of extreme events are also given, under different emissions scenarios and time horizons, including results from regional models covering the European domain, such as EURO-CORDEX. The report is written for climate scientists, climate researchers and experts who use climate information in a professional role. There are four case studies (Appendix 2) which provide an anatomy of different recent European extreme weather/climate events including meteorological impacts and synoptic context. Observed global temperature trends show the number of warm extremes has increased and number of cool extremes has decreased over the last 100 years, and the length and frequency of summer heat waves has increased during the last century. In Europe these trends are most pronounced in the last 40 years although regional variations exist. For Europe, 2014 was the warmest year on record, although it had fewer hot days than recent years. Under future climate change with continued warming, the number of heat waves is projected to increase, along with their duration and intensity. Under all emissions scenarios, summers like the hot summer experienced in 2003 will become commonplace by the 2040s. The global trend in precipitation is generally for wetter conditions over the 20th century although changes are less temporally and spatially coherent than those observed for temperature. The general trend in precipitation for Europe in the 20th century is of increases over northern Europe and decreases over southern Europe. Extreme precipitation is becoming more intense and more frequent in Europe, especially in central and eastern Europe in winter, often resulting in greater and more frequent flooding. Since 1950 winter wet spells increased in duration in northern Europe and reduced in southern Europe, while summer wet spells became shorter in northern and eastern Europe. An increasing proportion of total rainfall is observed to fall on heavy rainfall days. Extreme precipitation (including short intense convective or longer duration frontal types) demonstrates complex variability and lacks a robust spatial pattern. Climate models project that events currently considered extreme are expected to occur more frequently in the future. For example a 1-in-20 year annual maximum daily precipitation amount is likely to become a 1-in-5 to 1-in-15 year event by the end of the 21st century in many parts of Europe. There are few ground based hail observation networks, so satellite measurements and weather models are used to identify hail forming conditions. In Europe most extreme hail events occur in the summer over Central Europe and the Alps where convective energy is greatest. Intense hail events are linked to increases in convective energy in the atmosphere observed over the last 30 years. Hailstorm projection studies, although limited to France, northern Italy and Germany, show increases in the convective conditions that lead to hail and some areas show a rise in damage days although this is not statistically significant. Recent severe droughts include Italy (1997-2002), the Baltic countries 2005-2009, the European heatwave of summer 2003, and the widespread European drought of 2011. The 1950s were prone to long, intense, Europe-wide meteorological and hydrological droughts. In northern and eastern Europe the highest drought frequency and severity was from the early 1950s to the mid-1970s. Southern and Western Europe (especially the Mediterranean) show the highest drought frequency and severity since 1990. There has been a small but continuous increase of the European areas prone to drought from the 1980s to the early 2010s. Regional climate models project a decrease in summer precipitation until 2100 of 17%. Dry periods are expected to occur 3 times more often at the end of this century and to last longer by 1 to 3 days compared to the period of 1971-2000. There is significant uncertainty associated with future projections of drought, with climate variability being the dominant source of uncertainty in observed and projected soil moisture drough