This is one (Riccardo Rigon's) contribution to the CLIMAWARE project. It contains a few paper on major journals and some research path to follow.

1. CLIMAWARE
at the end
Riccardo Rigon & Coworkers
Trento, July 4th, 2017
ScrivaniadiEnzoFerrari,MuseoFerrari

2. !2
We promised to do the Adige Model
Rigon et al.
http://abouthydrology.blogspot.it/2015/10/workshop-on-coupled-hydrological.html

3. !3
Instead we did mainly 5 things
The Adige database
1
DatabaseDatabase NewAgeNewAge
CLIMAWARE 23 settembre 2016
http://abouthydrology.blogspot.it/2016/09/the-adige-database-or-database-newage.html
Rigon et al.

4. !4
Instead we did mainly 5 things
Add to the current theory
Rigon et al.
http://abouthydrology.blogspot.it/2016/05/age-ranked-hydrological-budgets-and.html
the coldest months of the year, in which the evapotranspiration flux is lower. On the contrary, smaller
⇥(tin) values were obtained in the summer months, with a minimum in June around 0.25.
0.25
0.50
0.75
1.00
Gen 1994 Apr 1994 Lug 1994 Ott 1994 Gen 1995
Time
PartitioningcoefficientΘ
January
February
March
April
May
June
July
August
September
October
November
Jan 94 Apr 94 Jan 95Oct 94Jul 94
Figure 8. Evolution of the partitioning coefficient in one year of hourly simulation: the highest value are
achieved in January while the lowest in June.
7 Niemi’s relation245
As a result of definitions made in sections (4) and (5) two relations exist involving q(t,tin), i.e.
equations (11) and (30), and aeT (t,tin), i.e. equations (12) and (31). Equating the corresponding
two expression, results in:

5. !5
Instead we did mainly 5 things
Testing the model in a small catchment
Rigon et al.
http://abouthydrology.blogspot.it/2016/08/estimating-water-budget-components-and.html
0
100
200
300
400
500
01-2012
02-2012
03-2012
04-2012
05-2012
06-2012
07-2012
08-2012
09-2012
10-2012
11-2012
12-2012
Date(month)
Q,ET,S(mm/month)
Q
ET
S
0
100
200
300
J(mm/month)
Figure 16. The same as figure 15, but monthly variability for the year 2012.
27
b
Figure 1. The location of the Posina basin in the Northeast of Italy (a) and DEM elavation, location of rain gauges and hydrometer stations,
subbasin-channel partitions used for in the simulation (b).
3.1 Watershed partition
Pertinent to our approach is the use of a coarse degree of spatial information, at the level of the hydrologic response units
(HRUs). These HRUs groups a set of hydrologically similar points close each other, that are treated as a single unit, on the
basis of mathematical, physical or computational arguments. In other words, even if information can be calculated at pixels
level, for instance for exploiting the accurate knowledge of topography, this information is subsequently coarse grained for5
getting single values for any HRU. The rationale of this choice is to capture the ’meaningful’ spatial heterogeneity in the input
data and processes, similar to that adopted in other models (Lagacherie et al., 2010; Ascough et al., 2012). More specifically,
in NewAGE the basin is partitioned into hillslopes and channel links. This partition is carried out according the procedure
presented in Formetta et al. (2014b, 2011). Each hillslope and link is numbered according to the Pfafstetter scheme (Formetta
et al., 2014a; Abera et al., 2014), which defines an identifier for each link and hillslope, and an order to transverse them.10
Eventually, this approach allows the resolution of Eq. (1) for any of these units independently, from the most uphill one to
the outlet. However, depending on the process, the value of each term in the equation can depend on some sub-HRU analysis.
In this paper, the term hillslope, HRU, and subbasin are used alternatively for the same basin partitioning concept. A total of
42 HRUs is chosen for the basin (figure 1b). To illustrate the variability of hydrological quantities among HRUs, a sample of
HRUs (four HRUs: Id 1, 4, 13, and 37) are systematically selected to represent different elevation (elevation ranges from 65615
5

6. !6
Instead we did mainly 5 things
Testing the model in a large catchment
Rigon et al.
http://abouthydrology.blogspot.it/2017/02/modelling-water-budget-of-upper-blue.html
J
8
9
10
11
12
8
9
10
11
12
8
9
10
11
12
8
9
10
11
12
35 36 37 38 39 40
Lat(degree)
10 30 100 300
Q
35 36 37 38 39 40
Long (degree)
0.5 10 150
mm/month
ET
35 36 37 38 39 40
20 60 150
ds/dt
JanuaryAprilJulyOctober
35 36 37 38 39 40
-200 0 300

7. !7
Worked on informatics to allow for independent and
parallel treatment of hillslopes
Instead we did mainly 5 things
Rigon et al.
http://abouthydrology.blogspot.it/2016/11/about-graphs-dsl-and-replicable.html

8. !8
Possible offsprings
Rigon et al.
• Implementation of the river Adige model (estimated cost: 100 KEuro)
• Studying the policies for the management of the Great Renaissance Dam
(Blue Nile). In collaboration with Wuletawu Abera and Marco Pertile (?)
• Implementation of the model on Basilicata Rivers (ongoing research
financed by Basilicata Civil Protection, in collaboration with Prof.
Salvatore Manfreda)
• A book chapter in a book (possibly published by Springer-Verlag) edited by
Paolo Turrini and Marco Pertile about the application of the Water
Directive in Italy

9. !9
Find this presentation at
http://abouthydrology.blogspot.com
Ulrici,2000?
Other material at
Links
Rigon et al.