AbstractInformation on the spatio-temporal rainfall occurrence, its microphysical characteristics and its Z-R relations required to provide rainfall mapping based on rain radar data is hardly available for tropical high mountains. Therefore, this study aims to analyze rainfall types in the Andes cordillera to derive different rain-type Z-R relations using disdrometer observations at three study sites representative for different geographic positions and elevations (2610, 3626 and 3773 m a.s.l.). Rain categorization based on mean drop volume diameter (Dm) thresholds (; ; ) was performed using drop size distribution (DSD) data at a 5-min time step over an approximate 2-year period at each location. It was found that: (i) Rain observations characterized by higher(lower) Dm and rain rates are more frequent at the lower(higher) site. (ii) Due to its geographic position, very light rain (drizzle) is more common at higher altitudes with longer-duration events while rainfall is more convective at the lower range. (iii) The specific spatial exposition regarding cloud and rain formation seems to play an important role for the local Z-R relationship derivation. (iv) Low A coefficients () for first rain type resemble typical characteristics of orographic precipitation. (v) Greater values of A (lowest and highest stations for Dm >1.0 mm) are attributed to transitional rainfall as found in other studies. (vi) Rain-type Z-R relations show a better adjustment in comparison to sitespecific Z-R relationships. The study is the first contribution of Z-R relations for tropical rainfall at the high Andes.
Journal of Applied Meteorology and Climatology – American Meteorological Society
Published: Aug 24, 2017
It’s your single place to instantly
discover and read the research
that matters to you.
Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.
All for just $49/month
Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly
Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.
Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.
Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.
All the latest content is available, no embargo periods.
“Hi guys, I cannot tell you how much I love this resource. Incredible. I really believe you've hit the nail on the head with this site in regards to solving the research-purchase issue.”Daniel C.
“Whoa! It’s like Spotify but for academic articles.”@Phil_Robichaud
“I must say, @deepdyve is a fabulous solution to the independent researcher's problem of #access to #information.”@deepthiw
“My last article couldn't be possible without the platform @deepdyve that makes journal papers cheaper.”@JoseServera