WP2: Fine-scale rainfall data acquisition and prediction:
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1 WP1 WP2: Fine-scale rainfall data acquisition and prediction: Objective: develop and implement a system for estimation and forecasting of fine-scale (100m, minutes) rainfall Rainfall estimation: combining data from radars (X & C-band) and rain gauges Rainfall forecasting: combining with numerical weather prediction ü implement and test for pilot sites (Leuven, Paris, Rotterdam, London) ü applicable for urban areas of North-West Europe: guidelines, demonstrations, training, WP2 WP3 WP4
2 Applications (see WP3, WP4): Rainfall estimation: enable city water managers to develop reliable urban water strategies, including plans for urban flood prevention and pollution management
3 Applications (see WP3, WP4): Rainfall estimation: enable city water managers to develop reliable urban water strategies, including plans for urban flood prevention and pollution management Rainfall forecasting: allow local city managers to forecast, warn about and control urban pluvial impacts at street level in real time
4 Actions:! WP2& A5&&Workshop& on&radar& technology,& calibration&and& rainfall& estimation& Output:&Report& on&methods&for& fine2scale& rainfall& estimation& A6& Rainfall& estimation& in&pilot& sites& Output:& Rainfall& estimates& for&storms& in&pilot& sites& A7& Workshop& on&rainfall& forecasting& Output:& Report&on& methods&for& fine2scale& rainfall& forecasting& A8& Implementation& and&testing&of& rainfall& forecasting&in& pilot&sites& Output:& Operational& system&for& rainfall& forecasting&in& pilot&sites& A9&Writing& guidelines,& manuals&and& training& material& Output:& Manuals&for& developed& technology&+& training&
5 Actions: A5: Leuven workshop on radar technology, calibration and rainfall estimation, 16 April 2012 (M3)
6 Actions: A5: Leuven workshop on radar technology, calibration and rainfall estimation, 16 April 2012 (M3) ü Attended by 35 international experts (>20 aimed) ü Very interactive and fruitful discussion ü Towards closing the gap between radar meteorologists and urban hydrologists ü Outcome: recommended methods for fine-scale rainfall estimation
7 Actions: A5: Leuven workshop on radar technology, calibration and rainfall estimation, 16 April 2012 (M3) ü Outcome: document: Methods and experiences in radar based fine scale rainfall estimation ü Comments by 31 May
8 Content document: Methods and experiences in radar based fine scale rainfall estimation Part 1: Introduction to radar technology for urban hydrologists Chapter I. Introduction to radar technology Chapter II. Electronic calibration of the weather radar Chapter III. Different corrections to the raw radar signal: noise cut off, volume correction, attenuation correction, clutter correction Chapter IV. Influence of the radar scanning strategy on the radar estimates
9 Content document: Methods and experiences in radar based fine scale rainfall estimation Part 2: Methods and experiences in radar based fine scale rainfall estimation Chapter V. Estimation of rainfall rates from radar measurements (single pol, dual pol) Chapter VI. Combining radar rainfall estimates with other rainfall measurements (merging methods, matching of scales, error estimation)
10 Content document: Methods and experiences in radar based fine scale rainfall estimation Boxes with illustration of applications by RainGain partners
11 Content document: Methods and experiences in radar based fine scale rainfall estimation ü Mid 2013: Reference document for WP2 activities ü Mid 2015: Guidelines for good practise
12 Actions: A6: rainfall estimation in pilot sites ü Outcomes: fine-scale rainfall estimates for recent storms in pilot sites + comparison with traditional rainfall estimates (without radar) ü Tasks: ü Radar calibration and adjustment based on rain gauge data ü Different calibration/adjustment methods ü Comparison & integration of fine-scale (X-band, city scale; super- resolution C-band) with rain gauge and coarser (NWEscale) C-band radar data ü Rainfall estimation error/uncertainty analysis ü Interfacing with the applications in WP3 & WP4
13 Actions: A6: rainfall estimation in pilot sites ü Leuven (X-band radar DHI): Past and current: o Radar adjustment to rain gauges (different periods): empirical transfer functions, identification of dependencies on season, storm type, intensity, wind speed, wind direction, temperature, spatial size, location of storm o Testing merging methods (gauges, X-band, C-band): Range-dependent, Mean Field Bias, Brandes, Kriging o Checking for missing or erroneous pixels
14 Actions: A6: rainfall estimation in pilot sites ü Leuven (X-band radar DHI): Comparison merging methods:
15 Actions: A6: rainfall estimation in pilot sites ü Leuven (X-band radar DHI): Comparison merging methods:
16 Actions: A6: rainfall estimation in pilot sites ü Leuven (X-band radar DHI & C-band KMI): Calibration conceptual rain storm model: Rain cells R(x,y) y u y Small meso-scale areas x θ Large mesoscale areas x
17 Actions: A6: rainfall estimation in pilot sites ü Leuven (X-band radar DHI & C-band KMI): Calibration conceptual rain storm model: Rainfall intensity [mm/h] P1 P Time [min]
18 Actions: A6: rainfall estimation in pilot sites ü Leuven (X-band radar DHI & C-band KMI): Calibration conceptual rain storm model:
19 Actions: A6: rainfall estimation in pilot sites ü Leuven (X-band radar DHI & C-band KMI): Calibration conceptual rain storm model:
20 Actions: A6: rainfall estimation in pilot sites ü Leuven (X-band radar DHI & C-band KMI): Calibration conceptual rain storm model:
21 Actions: A6: rainfall estimation in pilot sites ü Leuven (X-band radar DHI): Future: o Other merging methods: Kalman filter, quantile mapping, weather typing, scaling relations o Conceptual rain storm model: filling-up missing sector direction airport
22 Actions: A6: rainfall estimation in pilot sites ü London ( super resolution C-band Met Office + soon: X-band Rainscanner Selex): o Radar adjustment to rain gauges & Testing merging methods (gauges, C-band): Mean Field Bias, KED ü The Netherlands: experiences with Cabauw Experimental Site for Atmospheric Research (CESAR) o Comparison C-band, X-band & rain gauges data
23 Actions: A6: rainfall estimation in pilot sites ü Paris: o A.Gires: multifractal based downscaling method (incl. uncertainty bands on downscaling result, highest correlation between coarse and fine scale rainfall)
24 Actions: A6: rainfall estimation in pilot sites Timing: ü Leuven & London: by spring 2014 ü Rotterdam & Paris: by autumn 2014 (first results) summer 2015 (final results)
25 Actions: A6: rainfall estimation in pilot sites Added value trans-national cooperation: ü Exchange of knowledge and experience with different types of radar technologies and fine-scale rainfall estimation methods ü Inter-comparison of methods ü Inter-comparison of radars: cost-benefit evaluation ü Harmonization of approaches and set up of guidelines for end user good practices, of benefit for regional development
26 Actions: A7: Workshop on rainfall forecasting (M6) ü Outcome: recommended methods for fine-scale rainfall forecasting ü Spring 2014, Antwerp ü Active role for radar meteorologists (MetOffice, KMI, Meteo France, KNMI) ü Linked to PLURISK project for Belgian Science Policy office (multidisciplinary risk analysis for risks induced by extreme rainfall over urban areas)
27 Actions: A8: implementation for pilot sites ü Outcomes: operational system for fine-scale rainfall forecasting in pilot sites + results for min. 10 extreme storms ü Timing: Leuven & London: by summer 2015
28 Actions A7 & A8: Rainfall forecasting (short-term forecasting = nowcasting) Subtopics addressed: Combination of (fine and coarse scale) radar data with Numerical Weather Prediction (provided by national meteo services) Use of lightning detection data Advective-statistical forecast model Spatial and temporal downscaling Error/uncertainty estimation in function of forecast lead time / probabilistic forecasts Interfacing with the applications in WP3 & WP4
29 Action A8: Rainfall forecasting (short-term forecasting = nowcasting) London (ICL & Met Office i.c.w. Bristol University): STEPS nowcasting model (some tests already ongoing) Leuven (KU Leuven & Aquafin i.c.w. KMI): KMI nowcasting model (some tests already ongoing)
30 Action A9: Guidelines ü Outcome: reference and user s manuals on developed technologies for rainfall estimation and forecasting ü Training and dissemination during National Observer Meetings
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