Floods and Droughts in Asia, Europe, and America

Hiroshi G. Takahashi; Masashi Kiguchi; Shiori Sugimoto

REVIEW 2 major objections 3 minor 35 references

Floods and Droughts in Asia, Europe, and America

T0 review · 2 major / 3 minor · reviewed 2026-08-07 · deepseek-v4-flash

Challenge this review Re-run · record.json Download PDF Read on arXiv ↗

Pith's one-line read This review argues that floods and droughts are opposite expressions of the same water and energy imbalance, yet they are systematically asymmetric: floods are smaller and faster, droughts larger and slower, with regional and seasonal…

desk verdict A solid, useful review chapter whose central asymmetry claim is a framing heuristic rather than a demonstrated empirical law; worth refereeing as a review, with requests for tightening. read the letter →

arxiv 2506.10695 v1 pith:HWFTJKF7 submitted 2025-06-12 physics.ao-ph

Hiroshi G. Takahashi , Masashi Kiguchi , Shiori Sugimoto This is my paper

classification physics.ao-ph

keywords floodsdroughtswatercycleenergytemporalandspatialscalesregionalseasonalcharacteristicsprecipitationdatasetsheatwaves

verification ladder T0 review T1 audit T2 compute T3 formal

The pith

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The reading

This review chapter argues that floods and droughts are two faces of the same hydrological imbalance—too much water entering a region versus too little—but that treating them as mirror opposites hides a systematic asymmetry. Drawing on the water and energy cycles, the authors show that floods tend to be small in area and short in duration (from hours to weeks), while droughts tend to be large in area and long in duration (weeks to years), and that both types of events have strong regional and seasonal signatures. The chapter surveys flood types, drought categories and indices, precipitation datasets, and documented events across Asia, Europe, and America to support the claim that no single indicator or method can uniformly describe or predict both phenomena. A sympathetic reader would take away that disaster risk assessment must be scale-aware and region-specific, and that the link between drought, heatwaves, and air pollution deserves attention alongside flood monitoring.

What carries the argument

The carrying object is the coupled water and energy budget of a surface region, expressed through the hydrological balance (precipitation, evapotranspiration, runoff, and storage) and the surface energy balance, with the Bowen ratio (sensible heat divided by latent heat) used to indicate dry versus wet surface conditions. The mechanism doing the work is the positive land-atmosphere feedback loop: drier soil reduces evaporative cooling, raising surface temperature and accelerating drying, a loop that blocking highs can sustain. Alongside this, the chapter uses scale comparison of event types—flood categories classified by USGS (regional, flash, ice-jam, storm-surge, dam failure, mudflow) and drought categories (meteorological, hydrological, agricultural) and indices (CDD, SMA, PDSI)—to establish that floods and droughts occupy different parts of the space-time spectrum.

What would settle it

Compile a global catalog of flood and drought events using one objective, symmetric definition—for example, contiguous areas and durations over which a standardized soil-moisture or runoff anomaly exceeds a fixed threshold—and compare the area-duration distributions. If droughts turned out to be smaller and faster than floods, or if the two distributions overlapped without systematic separation, the chapter's central asymmetry claim would be refuted.

Watch

Extended reading notes

Core claim

The central claim is that floods and droughts are physically opposite conditions—flood results from excess water input relative to output over a considered area, drought from a deficit—yet they are asymmetric in both spatial and temporal scale. The authors argue that floods typically occupy smaller areas and shorter timescales, from flash floods of hours over sub-kilometer scales to seasonal floods over plains, whereas droughts and their associated heatwaves operate on synoptic or larger scales and persist from weeks to years. They further contend that the causes are regional and seasonal: tropical storms and monsoon systems drive floods in some regions, while blocking highs, ENSO, and ocean-atmosphere coupling modes drive droughts elsewhere. The chapter's review of East Asian floods, Southeast Asian floods, European droughts, and American multiyear droughts is meant to show that this asymmetry is a general feature, and that land-atmosphere feedback—once soil moisture is depleted, more energy goes to sensible heating, reinforcing hot and dry conditions—makes drought a self-amplifying process that requires an external disturbance to break.

Load-bearing premise

The comparison rests on the assumption that the spatial and temporal scales of floods and droughts can be measured on a common footing; the chapter gives no quantitative definition of an event's scale, so if flood duration is defined by a discharge peak and drought duration by a prolonged anomaly, the claimed asymmetry may be partly built into the definitions.

Editorial extensions

If this is right

Because floods are fast and local while droughts are slow and widespread, early-warning and monitoring systems should be matched to event scale: radar and high-resolution satellite products for flash floods, long-term homogeneous records for drought.
The asymmetry means a single global projection of 'more extremes' is insufficient; regional and seasonal assessments are needed, with flood risk more sensitive to local orography and land use, and drought risk more tied to large-scale circulation and warming.
Drought's positive land-atmosphere feedback implies that once soil moisture is depleted, heat and dryness can intensify without new forcing, so drought termination typically requires an external weather system bringing moisture.
Since droughts often co-occur with heatwaves and can trigger wildfires and air pollution (as in the Australian bushfire example), drought monitoring should be coupled to heat and air-quality monitoring.
The review's event surveys imply that historical flood death tolls are dominated by storm surges and dam failures in Asia, whereas economic losses from slow seasonal floods can be enormous even with small death tolls, so impact metrics must separate lives lost from economic exposure.

Reading between the lines

Editorial extensions of the paper, not claims the author makes directly.

If the scale asymmetry is robust, then a combined 'flood-drought' risk metric that treats the two as opposite ends of one scale will systematically misrank regions; a more honest approach is to report flood risk and drought risk as separate space-time distributions.
The asymmetry suggests a testable extension: using standardized soil-moisture anomaly events with fixed thresholds, one could quantify the joint distribution of event area and duration across regions; the paper's claim predicts a systematic separation of flood and drought clusters in that space.
The framework implies that drought predictability may inherently exceed flood predictability, because droughts develop slowly across large areas, whereas flash floods depend on small-scale, short-lead convection; this difference could guide where to invest in observation and forecast skill.
The land-atmosphere feedback central to droughts also suggests that land-use changes altering soil moisture (irrigation, urbanisation, deforestation) could shift the scale balance, potentially making droughts more frequent in some regions even without precipitation changes.

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Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, and a circularity audit.

Desk Editor's Note

read the letter

Briefly: this is a review chapter, not a research paper, and the two new-looking figures (GPCC trend and coefficient of variation, 1951–2019) are illustrative analyses, not new findings. What the chapter does well: it gives a clear, accessible synthesis of the water and energy cycle, flood typology, drought types and indices, precipitation datasets with appropriate caveats about reanalysis, and a set of regional case studies (East Asia, Southeast Asia, Europe, Americas). The prose is serviceable and the literature selection covers the standard references; the self-citations are used as support, not as circular evidence. A student or a researcher entering the field would get a fair orientation.

The soft spots are in proportion. The headline asymmetry claim — floods and droughts are opposite but asymmetric in time and space, with droughts larger and slower — is repeated as a 'clearly asymmetric' fact, but 'scale' is never defined for either phenomenon. If a flood is measured as a discharge peak and a drought as a prolonged anomaly relative to a threshold, the asymmetry is partly baked into the definitions. The chapter's own examples complicate the generalization: the 2011 Chao Phraya flood persisted for months over a large basin, and the 1998 Yangtze flood was both long and regional, while flash droughts and heatwaves are not discussed as short-duration droughts. So the claim should be read as a framing heuristic, not an empirical law, and the review would be stronger if it said so.

On the original figures: they are descriptive. No confidence intervals or detailed processing description accompany them, and the Mann-Kendall significance dots only tell part of the story. For a review figure, that is acceptable, but if kept, they should be labeled as exploratory. There are also section-numbering inconsistencies (references to Section 4.4 and 7.5 when the chapter is numbered 46.x) and typos ('Forth', 'Europa', 'directory/indirectly') that an editor should clean up. These are minor.

Overall, the chapter is honest, organized, and internally consistent in its main didactic purpose. The central argument — that flood and drought are opposite but not symmetric — holds up as a pedagogical claim, even if it is not quantitatively substantiated.

Who is this for: a handbook reader or a graduate student needing a broad overview. It deserves a serious referee, not a desk reject; the referee should ask for a sentence or two acknowledging the definitional caveat, and a copy-edit pass.

Referee Report

2 major / 3 minor

Summary. This chapter is a review-style handbook contribution on floods and droughts across Asia, Europe, and the Americas. It frames the two hazards through the water and energy cycles, surveys flood types (regional, flash, ice-jam, storm-surge, mudflow), drought types and indices (CDD, SMA, PDSI), available precipitation datasets, and regional case studies ranging from the Yangtze floods and the 2011 Thailand flood to European heatwaves and North American droughts. Its central conceptual claim, stated in the abstract and in Sections 46.1 and 46.6, is that floods and droughts are opposite phenomena in terms of water excess versus shortage, yet asymmetric in spatial and temporal scales: droughts are said to be generally larger and longer-lived than floods. The chapter also presents two original global maps of precipitation trends and interannual variability over land.

Significance. The chapter is a useful, wide-ranging synthesis for a handbook audience. It draws on authoritative references (IPCC Seneviratne et al. 2012, Dai 2011, Trenberth et al. 2007, Xie et al. 2016, Seager and Hoerling 2014), explains drought indices and precipitation data products clearly, and provides instructive regional examples. The original Figures 46.4 and 46.5 add value and are described with standard significance testing (Mann-Kendall, Sen's slope). The principal weakness is that the headline asymmetry claim is stated more categorically than the evidence presented; however, because the chapter is a review and does not draw quantitative conclusions from that claim, the issue is fixable with a definition and a caveat. Overall, the chapter is competent and appropriate for a handbook, though not a research contribution.

major comments (2)

[§46.1 and §46.6] The statement that floods and droughts are 'clearly asymmetric on temporal and spatial scales' is asserted in the abstract and repeated in Sections 46.1, 46.4.1, and 46.6 without an operational definition of 'scale' for either phenomenon. As written, the claim is not testable, and the chapter's own examples complicate it: the 2011 Chao Phraya flood (§46.7.3) persisted for months over a large basin, and regional floods (§46.3.1) can last days to weeks over wide areas, while flash droughts of several weeks are not discussed. The apparent asymmetry may be partly definitional if floods are characterized by individual peak events and droughts by prolonged anomalies relative to a threshold. Please define how spatial extent and duration are to be measured, and either restrict the claim to typical (modal) events or explicitly present it as a heuristic rather than a demonstrated empirical law.
[§46.4.1] The sentence 'At least, most time and spatial scales of drought conditions are longer and broader than their flood conditions when we consider the same target region' is a general empirical assertion with no citation or quantitative support. Because this statement later motivates the separate treatment of floods and droughts in Section 46.6, it would be helpful to either provide a supporting reference from the drought literature that compares event scales across hazards, or mark the statement explicitly as the authors' expert judgment based on the examples in the chapter.

minor comments (3)

[§46.7.5, §46.6.3, §46.3.6] Cross-references and internal numbering are inconsistent: Section 46.7.5 refers to 'Section 4.4 in this chapter' (which should be §46.4.4), and Section 46.6.3 refers to 'Section 7.5' and 'Section 7.1' without making clear whether these are other chapters in the handbook. Also, in §46.3.6, 'Forth worst' should be 'Fourth worst'.
[Throughout] There are numerous typographical errors and infelicities: 'Europa' for 'Europe' in §46.1; 'China has not recovered from 1931 Yangtze food' should read 'flood'; 'central Chida' should be 'central China' in §46.3.6; 'directory/indirectly caused' in §46.7.3 is garbled; 'counties' should be 'countries' in §46.6.2; and 'pass way' in §46.3 should be 'pathway' or 'track'. A careful proofreading pass is needed.
[§46.7.1] Figures 46.4 and 46.5 are referenced in the text, but the main text does not describe the data processing (e.g., land-only coverage, use of anomalies, handling of island stations) before the reader encounters the figures. The captions provide some information, but a sentence in the text summarizing the dataset, period, and processing choices would improve interpretability.

Circularity Check

0 steps flagged · score 0.0 of 10

No circularity: this is a literature-review chapter whose claims rest on external empirical and modeling literature, not on fitted inputs or self-referential derivation.

full rationale

The manuscript is a handbook review chapter, not a derivation paper. It introduces floods and droughts through the water and energy cycles, categorizes flood and drought types, surveys precipitation datasets, and summarizes regional case studies. No equation is fitted to data and then renamed a prediction, and no central claim is defined in terms of the result it is said to explain. The asymmetry statement in Sec. 46.1 ('they are clearly asymmetric on temporal and spatial scales') is presented as a general literature-based observation, and Sec. 46.6 reiterates it as a heuristic rather than as a conclusion derived from a model or fit. The self-citations (refs. 24, 25, 27, 30, 32) are used as ordinary literature support for specific regional findings such as CMIP5 precipitation trends, aerosol feedbacks, Meiyu-Baiu rainfall enhancement, Tibetan Plateau disturbances, and the 2011 Thailand flood; they are not invoked as a uniqueness theorem and do not carry the chapter's central claim. The lack of a quantitative definition of 'scale' makes the asymmetry claim imprecise and hard to test, but imprecision is not circularity: the chapter does not define flood scale in terms of drought scale, nor does any input reduce to its output by construction. The chapter's own limitation statement in Sec. 46.8 ('it is very difficult to discuss future floods and droughts through a unified set of indicators and methods') is consistent with a non-circular review that acknowledges regional diversity. Therefore no significant circularity is present.

Assumptions & free parameters 0 free parameters · 3 assumptions · 0 invented entities

No free parameters or invented entities. The chapter relies on standard climate-science assumptions about the water balance and on the credibility of precipitation datasets.

assumptions (3)

domain assumption The hydrological balance concept is an adequate basis for defining floods and droughts.
Used throughout Sections 46.1 and 46.2 to frame both phenomena as excess or deficit in water storage.
domain assumption The GPCC precipitation dataset is sufficiently reliable for trend and variability analysis.
Used to produce Figures 46.4 and 46.5 without independent validation.
standard math The statistical methods (Sen's slope, Mann-Kendall test) are appropriate for the trend analysis.
Invoked for Figure 46.4, but no detailed validation or code is provided.

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Cite this review

Pith. "Pith review of Floods and Droughts in Asia, Europe, and America." pith.science (2026). https://pith.science/paper/HWFTJKF7

@misc{pith2026250610695,
  author       = {Pith},
  title        = {Pith review of: Floods and Droughts in Asia, Europe, and America},
  year         = {2026},
  howpublished = {\url{https://pith.science/paper/HWFTJKF7}},
  note         = {Machine review of arXiv:2506.10695}
}

read the original abstract

This chapter introduces flood and drought through the understanding of the water cycle. In addition to the water cycle, we consider the energy cycle. The floods and droughts have strong regional and seasonal characteristics. The causes of the unbalanced water conditions can occur under the various meteorological phenomena, which have strong regional and seasonal varieties. For an understanding of the cause of floods and drought, we first consider the geographical characteristics of the floods and droughts. At the same time, we focus on the spatial and temporal time-scale of the flood or drought. Moreover, because floods and drought can be considered as excess and shortage of water, respectively, they are opposite. However, their spatial and temporal scales are asymmetric.

Figures

Figures reproduced from arXiv: 2506.10695 by the authors.

**Figure 46.1.** Figure omitted due to copyright. See: Trenberth et al. 2007. Schematic of the local atmospheric water balance. The large arrows indicate atmospheric moisture divergence, which is mostly compensated for by evapotranspiration E and precipitation P, as changes in atmospheric moisture storage are small. At the surface E−P is balanced by surface and subsurface runoff, and changes in soil moisture and groundwater. (Citati… view at source ↗

**Figure 46.2.** Figure omitted due to copyright. See: Trenberth et al. 2007. The hydrological cycle. Estimates of the main water reservoirs, given in plain font in 103 km3 , and the flow of moisture through the system, given in slant font (103 km3 yr−1 ), equivalent to Eg (1018 g) yr−1 . (Citation [PITH_FULL_IMAGE:figures/full_fig_p006_46_2.png] view at source ↗

**Figure 46.3.** Figure omitted due to copyright. See: Chang et al. 2021. The atmospheric path of biomass burning-aerosols emitted during the ’Black Summer’ from Australia across the Pacific Ocean; aerosol optical thickness (AOT), surface albedo (SA), direct aerosol radiative forcing (ARF) from 1st to 8th of January, 2020. (Citation [PITH_FULL_IMAGE:figures/full_fig_p019_46_3.png] view at source ↗

Figures from the paper (3 more)

**Figure 46.4.** Figure 46.4: Long-term (over 69 years from 1951 to 2019) trends of annual precipitation [PITH_FULL_IMAGE:figures/full_fig_p020_46_4.png]

**Figure 46.5.** Figure 46.5: Interannual (over 69 years from 1951 to 2019) coefficient of variation of an [PITH_FULL_IMAGE:figures/full_fig_p022_46_5.png]

**Figure 46.6.** Figure 46.6: (a) Precipitation time series generated from the CMAP dataset for the [PITH_FULL_IMAGE:figures/full_fig_p026_46_6.png]

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Reference graph

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Pith tools

Reviewed August 7, 2026 · model on record in the stance chip above.

[1] [1]

Trenberth KE, Smith L, Qian T et al. (2007). Estimates of the Global Water Bud- get and Its Annual Cycle Using Observational and Model Data. J. Hydrometeorol., 8(4):758–769

work page 2007

[2] [2]

Disaster Year in Review 2020, Cred Crunch, 62, p

EM-DAT (2021). Disaster Year in Review 2020, Cred Crunch, 62, p. 1. https: //cred.be/sites/default/files/CredCrunch62.pdf. Retrieved on July 8, 2021

work page 2021

[3] [3]

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Burt CC (2004). ”Rain and Floods”, Extreme Weather: A Guide & Record Book , W. W. Norton & Co., pp. 123–124

work page 2004

[4] [4]

”Flash Flooding Definition”

National Weather Services (2021). ”Flash Flooding Definition”. https://www. weather.gov/phi/FlashFloodingDefinition

work page 2021

[5] [5]

Ob’ River flood inundations from satel- lite observations: A relationship with winter snow parameters and river runoff

Papa F, Prigent C, Rossow WB (2007). Ob’ River flood inundations from satel- lite observations: A relationship with winter snow parameters and river runoff. J. Geophys. Res., 112, D18103. doi:10.1029/2007JD008451

work page doi:10.1029/2007jd008451 2007

[6] [6]

”Storm Surge Overview”

NOAA (2021). ”Storm Surge Overview”. https://www.nhc.noaa.gov/surge/. Re- trieved on July 9, 2021

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Hungr O, Leroueil S, Picarelli L (2014). The Varnes classification of landslide types, an update. Landslides, 11:167–194. doi:10.1007/s10346-013-0436-y

work page doi:10.1007/s10346-013-0436-y 2014

[8] [8]

”Yellow River, China, Flood 1887 AD”, Encyclopedia of Disasters, Greenwood Press, pp

Gunn AM (2008). ”Yellow River, China, Flood 1887 AD”, Encyclopedia of Disasters, Greenwood Press, pp. 141–145

work page 2008