How does sub‐hourly rainfall intermittency bias the climatology of hourly and daily rainfalls? Examples from arid and wet tropical Australia. (25th December 2018)
- Record Type:
- Journal Article
- Title:
- How does sub‐hourly rainfall intermittency bias the climatology of hourly and daily rainfalls? Examples from arid and wet tropical Australia. (25th December 2018)
- Main Title:
- How does sub‐hourly rainfall intermittency bias the climatology of hourly and daily rainfalls? Examples from arid and wet tropical Australia
- Authors:
- Dunkerley, David
- Abstract:
- Abstract : Statistical rainfall climatologies for application to problems in ecohydrology or urban flood hydrology employ indices such the average rainfall depth per rain day or rain hour, and the average daily or hourly rainfall intensity. These subsume fine‐temporal‐scale aspects of rainfall arrival such as sub‐hourly intermittency that vary among locations with different climatic conditions. Rainfall duration and intensity derived from data aggregated to hourly or daily level thus involve some bias, generally overestimating the duration of rainfall and underestimating rainfall rates, and this bias will vary with location. The magnitude of bias is documented for two Australian locations having rainfall records of high temporal resolution: one arid and one wet tropical. Rainfall data aggregated to hourly or daily level yield substantial overestimates of time raining, and underestimates of rainfall rates. The magnitude of bias is shown to differ between the two field locations where on average rain is only recorded during 3.6 hr (14.9%) of a rain day at the arid location, but 8.2 hr (34%) at the wet tropical site. Resulting bias in estimates of time raining and of rainfall intensities is worse at the arid location. The significance of intermittency in particular for the detection of the effects of climate change on temporal rainfall climatology is explored. If intermittency varies with climate change, but is concealed through the use temporally aggregated rainfall data,Abstract : Statistical rainfall climatologies for application to problems in ecohydrology or urban flood hydrology employ indices such the average rainfall depth per rain day or rain hour, and the average daily or hourly rainfall intensity. These subsume fine‐temporal‐scale aspects of rainfall arrival such as sub‐hourly intermittency that vary among locations with different climatic conditions. Rainfall duration and intensity derived from data aggregated to hourly or daily level thus involve some bias, generally overestimating the duration of rainfall and underestimating rainfall rates, and this bias will vary with location. The magnitude of bias is documented for two Australian locations having rainfall records of high temporal resolution: one arid and one wet tropical. Rainfall data aggregated to hourly or daily level yield substantial overestimates of time raining, and underestimates of rainfall rates. The magnitude of bias is shown to differ between the two field locations where on average rain is only recorded during 3.6 hr (14.9%) of a rain day at the arid location, but 8.2 hr (34%) at the wet tropical site. Resulting bias in estimates of time raining and of rainfall intensities is worse at the arid location. The significance of intermittency in particular for the detection of the effects of climate change on temporal rainfall climatology is explored. If intermittency varies with climate change, but is concealed through the use temporally aggregated rainfall data, erroneous assessments of changes in rainfall intensities may result. The use of rainfall events rather than clock‐period data appears to reduce some of these effects, but there is still a failure to reflect short‐period, high‐intensity rainfall that may be important to soil erosion and the loss of carbon, nutrients, and agrochemicals from agricultural land. Abstract : The description of temporal rainfall climatology using daily or hourly rainfall depths is analyzed. Short‐term intermittency of rain (periods of no rain) characterizes a typical "rain day" or rainfall event. This affects apparent rainfall rates, in ways that differ between arid and wet tropical locations, and which are not evident in hourly rainfall data. … (more)
- Is Part Of:
- International journal of climatology. Volume 39:Number 4(2019)
- Journal:
- International journal of climatology
- Issue:
- Volume 39:Number 4(2019)
- Issue Display:
- Volume 39, Issue 4 (2019)
- Year:
- 2019
- Volume:
- 39
- Issue:
- 4
- Issue Sort Value:
- 2019-0039-0004-0000
- Page Start:
- 2412
- Page End:
- 2421
- Publication Date:
- 2018-12-25
- Subjects:
- arid rainfall climatology -- Australia -- daily rainfall -- hourly rainfall -- rainfall event -- wet tropical rainfall climatology
Climatology -- Periodicals
Climat -- Périodiques
Climatologie -- Périodiques
551.605 - Journal URLs:
- http://onlinelibrary.wiley.com/ ↗
- DOI:
- 10.1002/joc.5961 ↗
- Languages:
- English
- ISSNs:
- 0899-8418
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4542.168000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 9691.xml