CCI-HYDR Perturbation Tool - A climate change tool for generating perturbed time series for the Belgian climate

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CCI-HYDR Perturbation Tool - A climate change tool for generating perturbed time series for the Belgian climate
CCI-HYDR project (contract SD/CP/03A) for:

                                                                                                           Programme SSD « Science for a Sustainable Development »

                                                                              MANUAL, JANUARY 2009

                                                                              CCI-HYDR Perturbation Tool
                                                                              A climate change tool for generating perturbed
                                                                              time series for the Belgian climate

K.U.Leuven                        Royal Meteorological Institute of Belgium
Faculty of Engineering            Meteorological Research and
Department of Civil Engineering   Development Department
Hydraulics Division               Risk Analysis and Sustainable
Kasteelpark Arenberg 40           Development Section                                                                                                  Royal Meteorological
BE-3001 Leuven, Belgium           Avenue Circulaire, 3                                                                                                 Institute of Belgium
tel. +32 16 32 16 58              BE-1180 Brussels, Belgium
fax +32 16 32 19 89               tel. +32 2 3730554                                                                                                   Meteorological Research and
Patrick.Willems@bwk.kuleuven.be   fax +32 2 3730548                               Faculty of Engineering                                               Development Department
www.kuleuven.be/hydr              Emmanuel.Roulin@oma.be                       Department of Civil Engineering                                         Risk Analysis and Sustainable
                                  www.meteo.be                                      Hydraulics Division                   CCI-HYDR project             Development Section
CCI-HYDR Perturbation Tool - A climate change tool for generating perturbed time series for the Belgian climate
Faculty of Engineering                                                                       Meteorological Research and
Department of Civil Engineering                                                                 Development Department
Hydraulics Section                                                                        Risk Analysis and Sustainable
Kasteelpark Arenberg 40                                                                            Development Section
BE-3001 Leuven, Belgium                                                                              Avenue Circulaire, 3
                                                                                               BE-1180 Brussels, Belgium
tel. +32 16 32 16 58
fax +32 16 32 19 89                                                                                 tel. +32 2 3730554
Patrick.Willems@bwk.kuleuven.be                                                                     fax +32 2 3730548
                                                                                              Emmanuel.Roulin@oma.be
www.kuleuven.be/hydr
                                                                                                          www.meteo.be

 No part of this publication may be reproduced, stored in a retrieval system, or transmitted in any form or by any
 means, electronic, mechanical, photocopying, recording, or otherwise, without indicating the reference :
 Ntegeka V., Willems P., 2009. “CCI-HYDR Perturbation Tool: a climate change tool for generating perturbed time
 series for the Belgian climate”, Manual version January 2009, K.U.Leuven – Hydraulics Section & Royal
 Meteorological Institute of Belgium, 7 p.
CCI-HYDR Perturbation Tool - A climate change tool for generating perturbed time series for the Belgian climate
CCI-HYDR Perturbation Tool                                                                                                                i

Table of contents
1    Introduction ........................................................................................................................1

2    How are the scenarios defined? .......................................................................................1

3    What does the program do? .............................................................................................2

4    What temporal and spatial scales are we looking at? ...................................................2

5    What time horizons are provided? ...................................................................................2

6    What does the output series represent? .........................................................................3

7    What variables are considered in the program? ............................................................3

8    Procedure for running the program .................................................................................3

9    Limitations of the scenarios .............................................................................................6

10   References ..........................................................................................................................7
CCI-HYDR Perturbation Tool - A climate change tool for generating perturbed time series for the Belgian climate
CCI-HYDR Perturbation Tool                                                                          1

1         Introduction
There is a dearth of climate change transformation tools especially for Belgium. This is in part
explained by the lack of climate change scenarios relevant for local regions. With the
completion of the PRUDENCE project in 2004, new regional climate scenarios became
available. However, the number of climate models coupled with emission scenarios made it
less obvious for users to synthesize. The CCI-HYDR project on “Climate change impact on
hydrological extremes in Belgium” for the Belgian Science Policy Office (Programme “Science
for a sustainable development”) was setup to primarily synthesize the pertinent climate
scenarios for Belgium. The project opted to focus on studying the high resolution regional
climate models from the PRUDENCE project.
One of the objectives required providing end users with time series which would enable them to
incorporate the impacts of climate change within their future water management plans. The
water authorities in particular were singled out as one of the target end users of the scenarios.
A perturbation algorithm was developed so that impact analysts in Belgium can assess the
hydrological impacts of climate change. The algorithm imparts a perturbation to an observed
series to generate future time series. The observed time series are perturbed on the basis of
four SRES scenarios (A1B, A2, B1 and B2). The climate model simulations with the A2 and B2
regional scenarios were extracted from the PRUDENCE database while the A1B and B1
scenarios were extracted from the IPCC AR4 database.
Most hydrological climate change impact assessments require inputs of rainfall and potential
evapotranspiration (ETo) to generate runoffs. By comparing the historical runoffs to the future
runoffs impacts can be quantified. Moreover, the scenarios have combined several model
outputs into only three scenarios that reliably represent the overall range of expected impacts.
The earlier version of the CCI-HYDR Perturbation Tool only involved scenarios for rainfall and
ETo, while the current version includes scenarios for temperature and wind speed, developed
by the project “Klimaatscenario’s voor Vlaanderen” for INBO (Instituut voor Natuur- en
Bosonderzoek) (Demarée et al., 2008; Baguis et al., 2008).

2         How are the scenarios defined?
For ease of interpretation, three scenarios are defined as high, mean and low based on the
expected hydrological impacts. The definition is not dependent on the projected rainfalls alone.
Rather it is based on the combined effect of the rainfall and ETo; in other words, the variables
are combined to generate an impact which can then be classified as high, mean and low. The
average temperature and wind speed variables are inferred through a correlation analysis with
rainfall and ETo. Wind speed is positively correlated with rainfall during winter and negatively
correlated during summer. The average temperature is assumed to follow the ETo trends, i.e.,
ETo is directly dependent on temperature.

The high scenario projects a future with wet winters and dry summers while the low scenario
projects a future with dry winters and dry summers. Thus, it is expected that the risk associated
with flooding is higher in the high scenario than the low scenario which is critical for low flows. In
essence, the high, mean and low scenarios may be referred to as wet, mild and dry scenarios
respectively. It is notable that the mean scenario represents mean conditions and is not the best
future guess. Users are encouraged to consider all the three scenarios to account for the overall
uncertainty. Figure 1 illustrates the relevance and interpretation of the scenarios.
2                                                                  CCI-HYDR Perturbation Tool

                                              Floods
    High/Wet

                        Hydrological Impact
    Mean/Mild

     Low/Dry
                                              Low flows

Figure 1: Relevance and interpretation of the CCI-HYDR scenarios.

3        What does the program do?
The program perturbs or changes the input series of rainfall (mm), ETo (mm), temperature (ºC)
and wind speed (m/s). For rainfall, the changes in number of wet days and intensities are
considered. The changes are quantile based to account for the fact that the changes might
depend on the magnitude or return period of the event. ETo is transformed in a relatively easier
way by applying seasonal average changes because high quantiles tend to have similar
percentage changes to lower quantiles. Wind speed is generated by using the correlation with
precipitation. High wind speeds in winter tend to be correlated with high rainfall amounts;
however during summer, high speeds imply dry conditions. Temperature is treated in a similar
way with ETo meaning high ETo values imply high temperatures; low ETo rates are outcomes
of low temperatures. More details about the perturbation procedure can be found in chapter five
of the CCI-HYDR Technical Report II “Study of climate change scenarios” (see project website:
http://www.kuleuven.be/hydr/CCI-HYDR.htm).

4        What temporal and spatial scales are we looking at?
The software uses time series at hourly and daily time steps. These are time scales relevant for
                                                                                    2
river subbasins. The scenarios were developed mainly for catchments up to 1000 km .

5        What time horizons are provided?
The time series perturbation procedure was developed from the PRUDENCE regional climate
models which mainly dealt with a 30 year control period of 1961-1990 and a 30 year scenario
period of 2071-2100. Interpolation is made for other periods to account for potential differences
between the period covered by the input series and the standard 1961-1990 control period. The
use of a 30 year period would be ideal given that it covers exactly the length of the climate
model control and scenarios periods. Also, a 30 year period corresponds to an average climate
“oscillation’’ cycle (Ntegeka and Willems, 2008). Perturbed series can also be conducted for
shorter or longer periods, but the rainfall-runoff modeller has to keep in mind that the results
may be biased from the long-term averaged climate. Due to the oscillations, the impact will be
overestimated if the input series period covers an oscillation peak and underestimated when it
covers an oscillation low.
CCI-HYDR Perturbation Tool                                                                      3

6        What does the output series represent?
The output series is the perturbed input series for a given time horizon in the future. Target
years of 2020, 2030, 2040, 2050, 2060, 2070, 2080, 2090, and 2100 can be selected. Each
target year is in the centre of a 30 year block e.g., 2050 represents changes from 2036-2065.
Thus, no predictions are made for a particular year or day in the future. It is important to
emphasise that the future changes are most reliable if the observed data input is 30 years and
covering the period 1961-1990. Since the modelled future scenario period was 2071-2100, the
changes during the target years within the block, i.e., 2070, 2080 and 2090, would also be more
reliable. For other target years, the interpolation and extrapolation of the changes leads to less
certain future perturbations.

7        What variables are considered in the program?
The software was originally designed with the key aim of aiding hydrological impact
assessments. However, temperature and wind speed have also been included for end users to
investigate other possible impacts. Rainfall and ETo are the main parameters required by
conceptual hydrological models to investigate impacts. Although it is possible to run the
program using only one of the variables, it is preferred that al least rainfall and ETo variables
are run in a hydrological model to study the impacts. Studying the changes of one variable
requires an understanding of the methodology of the scenario development provided in chapter
five of the CCI-HYDR Technical Report II “Study of climate change scenarios” (see project
website: http://www.kuleuven.be/hydr/CCI-HYDR.htm).

8        Procedure for running the program

 • The program uses Excel VBA macros which need permission to run in Excel. The user
    permits the program to run by first changing the macro security options. This is done by
    using Tools→Macro→Security…→Security Level→ Medium. On opening the program, the
    user clicks “enable macro” and a window appears requesting the user to open the file as a
    read only. Accept and close the logo shown as in Figure 2 (click the “X”).

 Figure 2: Startup window for the program.
4                                                                      CCI-HYDR Perturbation Tool

• For daily data, the user pastes the rainfall and ETo data beginning in row 4 in the section of
    the input series (Figure 3). The formats for the dates are indicated in the sheet. It is possible
    to only insert either rainfall or ETo alone but for hydrological modelling the two variables are
    necessary. Make sure that the daily data option is selected.

• The region for the station is selected i.e., coastal or inland. The coastal area in Belgium was
    found to show some differences in the projected changes from the inland regions (Ntegeka et
    al., 2008).

• The baseline is the period that is considered to be a reference for the future climate change.
    This baseline is taken as the period defined by the climate model control period. For the
    climate models, the 1961-1990 is taken as the baseline. Therefore if a period’s average
    climate is not significantly different from the 1961-1990 period, then the option for “Baseline
    (1961-1990)” is selected from the dropdown list. It is also possible for the baseline to be taken
    as defined from the input data period; here there is need interpolation to account for the
    difference in time i.e., 1961-1990.

• It is recommended that the option “Baseline (from input)” be selected always. After selecting a
    baseline option, one can then select a target year from the drop-down list and then click
    “Perturb”. The program then begins to generate the perturbed series. On completion, the daily
    perturbed series will be shown in the perturbed series section with the target year shown in
    the title.

    Figure 3: Input of daily rainfall and ETo series (dummy data).

• The perturbed series (Figure 4) represent the changed input series, where the perturbation
    corresponds to the climate change from the current climate (based on input period) to the
    predicted future climate (based on the target year). For each variable, 3 perturbed series are
    produced with each representing a scenario i.e., high, mean and low. If a variable was not
    provided, the time series will be blank. The perturbed series can then be copied and pasted
    into another excel workbook or in a text file and stored.
CCI-HYDR Perturbation Tool                                                                          5

 Figure 4: Generated daily data scenarios (dummy data).

• If the hourly or 10min data option is selected, the user is required to prepare the input text file
  before clicking “Perturb”. Two text files are required with one containing the date information
  and the other containing the values. The hourly or 10 min option is only available for rainfall
  data. ETo data if available should be pasted in the sheet before clicking the “Perturb” option. It
  is not necessary to paste the rainfall daily data in the sheet if the hourly option is selected.
  One can clear the data using the “Clear data” button, insert the daily ETo, select the hourly or
  10 min option and then click “Perturb”. The window shown in Figure 5 appears.

 Figure 5: Hourly data input.

• If you have not yet prepared the hourly input data click cancel to exit. If you had prepared the
  input text files then browse and select the text files. Make sure that the rainfall text file is not
  wrongly inserted as the time file. The formats for the hourly time and rainfall are shown in
  Table 1. The rainfall text file contains the rainfall values in a single column without headers
  and similarly the hourly time text file contains the hourly time data in a single column. Using
  text files often leads to errors if the text files for rainfall and time have different number of
  lines. It is advisable to remove empty lines in the text files and to check that both rainfall and
  time files have the same number of lines (put cursor at end of text file and use Edit →Goto in
  notepad).
6                                                                    CCI-HYDR Perturbation Tool

Table 1: Text formats for hourly/10min data input
 Time text file format                          Rainfall text file format
 01/01/1961 08:00:00                              0
 01/01/1961 09:00:00                              0
 01/01/1961 10:00:00                              0
 .                                                .
 .                                                .
 .                                                .
 01/01/1991 05:00:00                              0.68
 01/01/1991 06:00:00                              0
 01/01/1991 07:00:00                              0.27

• Clicking “Run” will begin the perturbation process for the hourly/10min data. This, however,
    takes longer than the daily input. On completion, three time series are found in the stated
    output folder (Figure 5). The files are named hourly_high.txt/10min_high.txt, hourly_mean.txt/
    10min_mean.txt and hourly_low.txt/10min_low.txt. These files can then be used for further
    analysis. Note that if the present ETo data was pasted in the sheet, the future ETo time series
    information will be provided in the sheet and not in a text file. These files can then be
    renamed as they are replaced with future runs.

• To rerun the program the user first clears the previous data using the “Clear data” button.

• In case of any errors, bugs or suggestions, the user may contact the program developers. The
    contact information can be found in the “Perturbation” option in the menu bar. One required
    windows setting is that decimal points are taken as decimal points and not commas. This can
    be checked in windows by changing the control panel language settings to English UK or
    another appropriate setting.

• For missing values, the user is expected to infill the time series before running the program.

9          Limitations of the scenarios

• The changes embedded in the program were based on 30 year time scales. This implies that
    longer time scales required for high return periods are not directly available. However they
    may be extrapolated from the 30 year time periods albeit with extrapolation assumptions.

• The scenarios are more reliable for the target years within the period 2071-2100 and for input
    series within the control period 1961-1990. Instead of interpolating and extrapolating, other
    periods require more transient runs to increase confidence in the projections.

• The climate scenarios were primarily based on the PRUDENCE regional climate models
    which were mainly driven by one Global Circulation Model (HadAM3H A2). This precluded a
    robust estimation of the uncertainties. Successive projects like the ENSEMBLES project are
    including more emission scenarios and time horizons at regional scales; this may lead to
    future updates.
CCI-HYDR Perturbation Tool                                                                    7

10       References

CCI-HYDR project reports and papers:

Ntegeka V., Willems P., Baguis P., Roulin E., 2008. “Climate change impact on hydrological
extremes along rivers and urban drainage systems. Summary report Phase 1: Literature review
and development of climate change scenarios”, K.U.Leuven – Hydraulics Section & Royal
Meteorological Institute of Belgium, April 2008, 64 p.

Baguis P., Boukhris O., Ntegeka V., Roulin E., Willems P., Demarée G., 2008. “Climate change
impact on hydrological extremes along rivers and urban drainage systems. I. Literature review”,
Technical report, K.U.Leuven – Hydraulics Section & Royal Meteorological Institute of Belgium,
May 2008, 57 p.

Ntegeka V., Baguis P., Boukhris O., Willems P., Roulin E., 2008. “Climate change impact on
hydrological extremes along rivers and urban drainage systems. II. Study of rainfall and ETo
climate change scenarios”, Technical report, K.U.Leuven – Hydraulics Section & Royal
Meteorological Institute of Belgium, May 2008, 112 p.

Ntegeka V., Willems P., 2008. “Climate change impact on hydrological extremes along rivers
and urban drainage systems. III. Statistical analysis of historical rainfall, ETo and river flow
series trends and cycles”, Technical report, K.U.Leuven – Hydraulics Section & Royal
Meteorological Institute of Belgium, May 2008, 37 p.

Ntegeka, V., Willems P., 2008. “Trends and multidecadal oscillations in rainfall extremes, based
on a more than 100-year time series of 10 min rainfall intensities at Uccle, Belgium”, Water
Resour. Res., 44, W07402, doi:10.1029/2007WR006471.

INBO project reports:

Demarée G., Baguis P., Deckmyn A., Debontridder L., Pinnock S., Roulin E., Willems P.,
Ntegeka V., Kattenberg A., Bakker A., Lenderink G., Bessembinder J., 2008. “Klimaatscenario’s
voor Vlaanderen”, rapport voor het Instituut voor Natuur- en Bosonderzoek (INBO), Koninklijk
Meteorologisch Instituut van België, Koninklijk Nederlands Meteorologisch Instituut (KNMI) &
K.U.Leuven – Afdeling Hydraulica, december 2008.

Baguis P., Ntegeka V., Willems P., Roulin E., 2009. “Extension of CCI-HYDR climate change
scenarios for INBO”, Technical report, K.U.Leuven – Hydraulics Section & Royal Meteorological
Institute of Belgium, January 2009, 31 p.
CCI-HYDR project (contract SD/CP/03A) for:

                                                                                                           Programme SSD « Science for a Sustainable Development »

                                                                              MANUAL, JANUARY 2009

                                                                              CCI-HYDR Perturbation Tool
                                                                              A climate change tool for generating perturbed
                                                                              time series for the Belgian climate

K.U.Leuven                        Royal Meteorological Institute of Belgium
Faculty of Engineering            Meteorological Research and
Department of Civil Engineering   Development Department
Hydraulics Division               Risk Analysis and Sustainable
Kasteelpark Arenberg 40           Development Section                                                                                                  Royal Meteorological
BE-3001 Leuven, Belgium           Avenue Circulaire, 3                                                                                                 Institute of Belgium
tel. +32 16 32 16 58              BE-1180 Brussels, Belgium
fax +32 16 32 19 89               tel. +32 2 3730554                                                                                                   Meteorological Research and
Patrick.Willems@bwk.kuleuven.be   fax +32 2 3730548                               Faculty of Engineering                                               Development Department
www.kuleuven.be/hydr              Emmanuel.Roulin@oma.be                       Department of Civil Engineering                                         Risk Analysis and Sustainable
                                  www.meteo.be                                      Hydraulics Division                   CCI-HYDR project             Development Section
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