<p>NASA's Global Precipitation Measurements Missions can measure rainfall from space: </p>

<p>Visible and infrared space-borne sensors can provide precipitation information inferred from cloud-top radiation, and microwave sensors provide direct precipitation measurement based on radiative signatures of precipitating particles.  This type of information is not available through ground-based measuring systems. </p>

<p><a href="https://pmm.nasa.gov/extreme-weather/mudslides-flooding-produced-extreme-rainfall-over-southern-california" rel="nofollow noreferrer">NASA's Integrated Multi-satellitE Retrievals for GPM (IMERG) were used to estimate the total amount of rain that fell over the western United States from January 17-24, 2017. Rainfall totals of over 9 inches (228.6 mm) were shown in some areas. IMERG rainfall totals have been adjusted to reflect observed values in other similar extreme rainfall events.</a></p>

<p>You'll need to dig through the site to <a href="https://pmm.nasa.gov/data-access" rel="nofollow noreferrer">find the correct dataset and format</a>, but it's likely in there.</p>

<p>NOAA also does a pretty good job of tracking ground-based measurements here: </p>

<p><a href="http://www.cnrfc.noaa.gov/monthly_precip.php" rel="nofollow noreferrer"><strong>Monthly Precipitation Summary Water Year 2017</strong></a></p>

<p>We'll need to wait for the end of the month before the February numbers are posted, though. As for daily-tracked precipitation data, you can see that here:</p>

<p><a href="http://www.wrh.noaa.gov/cnrfc/rsa_getprod.php?prod=RNORR5RSA&amp;wfo=cnrfc&amp;version=0" rel="nofollow noreferrer"><strong>Hydrology-meteorology Data Report</strong></a></p>

CC BY-SA 3.0
2017-02-24T01:46:00.733Z
2017-02-24T02:10:34.217Z
2017-02-24T02:10:34.217Z
Knob Scratcher
<p>You could use gridded model forecasts or reanalysis data to calculate the total water that precipitated. </p>

<p>Mathematically, the quantity you desire can be expressend by $$Q=\int_{t_0}^{t_1}\Big[\iint\limits_A R(x,y,t)dxdy\Big]dt=\iint\limits_A P(x,y)dxdy$$
where $R$ is your precipitation rate, $P$ is your accumulated precipitation, and $Q$ is your desired quantity.</p>

<p>One possible way of computing that quantity (In a crude Riemannian method):</p>

<ol>
<li>Get reanalysis data of accumulated rainfall, or interpolate observations (<a href="https://www.ncdc.noaa.gov/data-access/model-data/model-datasets" rel="nofollow noreferrer">NOMADS</a> is a good resource)</li>
<li>Read in the precipitation data, adjusting the values over multiple times, if needed.</li>
<li>Isolate the data associated with the gridpoints over your area of interest *(such as California).</li>
<li>Sum the accumulated rainfall over all of your chosen gridpoints, and multiply the accumulated rainfall by the product of the resolution of the data (in inches). That should get you your data in cubic inches.</li>
</ol>

CC BY-SA 3.0
2017-02-23T18:41:47.570Z
2017-02-23T18:41:47.570Z
BarocliniCplusplus
<p>I don't have the answer for you, but I can point you to the tools that can be used to get such an answer.  The <a href="http://water.weather.gov/precip/download.php" rel="nofollow noreferrer">Advanced Hydrologic Prediction Service</a> compiles rainfall grids using radar, surface observations, and a variety of other sources.  Options offered include daily, month-to-date, and archived data.</p>

<p>You can probably quite reasonably put the Shapefile download option into a GIS application, such as <a href="http://www.esri.com/software/arcgis/explorer" rel="nofollow noreferrer">Grass GIS</a> or <a href="https://www.arcgis.com/features/index.html" rel="nofollow noreferrer">ArcGIS</a>, then limit it to the state (or area of interest) and compute an average or total.</p>

<p>Alternative, you can download it as NetCDF, which I know you'd be able to open in <a href="http://cola.gmu.edu/grads/" rel="nofollow noreferrer">GrADS</a>/<a href="http://opengrads.org/" rel="nofollow noreferrer">OpenGrADS</a>, mask it to a certain area using some sort of shape file or geometry, and then run an areal average on it.</p>

<p>I really do wish more straightforward, user-adaptable data were easily available (and no guarantee it's not, I just don't know a source).  But at least this will give you the tools to figure out.</p>

<p>And while you're focused on rainfall, perhaps read up on central California's <a href="https://en.wikipedia.org/wiki/Great_Flood_of_1862" rel="nofollow noreferrer">Great Flood of 1852</a>!</p>

<hr>

<p>One other way to get an estimate of the total volume of water would be to use stream flow values combined with reservoir level changes, and attempt to estimate what percentage of rainfall escapes the reservoir system.  But at that point you're getting a very rough estimate, because the monitoring system doesn't measure every small stream emptying into the sea... and a significant (and varying) percentage of the water infiltrates the soil or evaporates.  Those complications could be incorporated into the calculation, but in the end, that seems a complicated way to solve a problem we already have more complete information on.</p>

<p>You asked for how much water that is.  Well, we can just as easily get a fair estimate from the map:</p>

<p><a href="https://i.sstatic.net/1BtLB.png" rel="nofollow noreferrer"><img src="https://i.sstatic.net/1BtLB.png" alt="Feb precip"></a>
(month to date as of February 22nd)</p>

<p>If that's an average of 8" over the state of California, that's:<br>
$ \pu{8 in} \times \pu{163,696 mi}^2 =$ <strong><a href="https://www.wolframalpha.com/input/?i=8%22%20x%20163,696%20sqmi%20in%20gallons" rel="nofollow noreferrer">23 trillion gallons</a></strong></p>

<p>Even if we're off by a factor of as much as 2 on the estimates, such that it's only 4" average, or alternatively 16" average, that just changes it to 11.5 trillion gallons and 46 trillion gallons.</p>

<p>Which begs the point... we don't often think in terms of trillions of gallons.  Trillions of gallons seems a ton, but even just a meager 0.35" over the state would equate to a trillion gallons.  Perhaps normalizing it to the area... such that it'd be $ \pu{140000 gal/mi^2}$... is a little better.  But still, a typical person would struggle to recognize whether any given value in this form would result in a flood or a droughts.</p>

<p>That's why we often just work in terms of percentiles, or graphs, or return periods, or just give the average in terms of inches itself.  It may not click great with everyone, but for many, such units are just a little more interpretable.</p>

<p>(And in case you wondered, a gallon of water weighs about <a href="https://www.wolframalpha.com/input/?i=1%20gal%20of%20water%20in%20pounds" rel="nofollow noreferrer">8.36 pounds</a>, so that's about <strong>100 trillion pounds</strong> of water, again sounding like a lot, but to most people, so does 1 trillion pounds of water from a little 0.10" inch rain system)</p>

CC BY-SA 3.0
2017-02-23T18:52:18.473Z
I don't think resevoir level changes are going to work right now, 'cause they're all pretty full, if not (like Oroville and the one south of San Jose) actually overflowing.  Maybe the method suggested below - get NWS daily precipitation numbers from all stations, and interpolate - would give the best answer.  Though if someone hasn't done it already, it would need some data collection & programming.
jamesqf
CC BY-SA 3.0
2017-02-24T04:34:46.770Z
@jamesqf Sorry should have included + stream flow, you're absolutely right, and I've updated to say that, and better spell out how it still misses a signicant percentage. In terms of interpolation between sites though, that's what this AHPS is about (and applies radar, which will give you a more realistic approximation than just interpolation)
JeopardyTempest
CC BY-SA 3.0
2017-02-24T18:19:43.623Z
I'd forgotten about moisture being absorbed into the soil before it gets to the resevoirs myself.  And of course above 5000 ft or so, a lot of precipitation is still sitting on the ground as snowpack...
jamesqf
CC BY-SA 3.0
2017-02-22T10:36:21.790Z
2017-02-24T04:33:28.720Z
2017-02-24T04:33:28.720Z
JeopardyTempest
<p>On a related note, there is another method, still being refined, that uses geodesy, the science of precisely measuring the shape of the earth and its gravity field.</p>

<p>Researchers have dotted California, and much of the seismically active United States, with GPS stations that can provide precise measurements of their distance from each other and their altitude, information which is useful for gauging movement along faultlines. But <a href="https://www.scientificamerican.com/article/epic-drought-in-west-is-literally-moving-mountains/" rel="nofollow noreferrer">researchers noticed during the past decade and a half that stations in drought-ridden areas had increased in altitude</a> -- as the mass of water in the ground was decreasing, the land surface itself was rising up.</p>

<p>Abstract for <a href="http://dx.doi.org/10.1126/science.1260279" rel="nofollow noreferrer">Ongoing drought-induced uplift in the western United States</a>:</p>

<blockquote>
  <p>The western United States has been experiencing severe drought since
  2013. The solid earth response to the accompanying loss of surface and near-surface water mass should be a broad region of uplift. We use
  seasonally-adjusted time series from continuously operating GPS
  stations to measure this uplift, which we invert to estimate mass
  loss. The median uplift is 4 mm, with values up to 15 mm in
  California’s mountains. The associated pattern of mass loss, which
  ranges up to 50 cm of water equivalent, is consistent with observed
  decreases in precipitation and streamflow. We estimate the total
  deficit to be about 240 Gt, equivalent to a 10 cm layer of water over
  the entire region, or the annual mass loss from the Greenland Ice
  Sheet.</p>
</blockquote>

<p>I was at a seminar last month where one of the researchers talked about using the same methodology to measure the mass increase from the ongoing storms in California, but I think it's too soon for any published research.</p>

<p>The GRACE satellite system also provides groundwater mass estimates. <a href="http://www.hcn.org/articles/technology-groundwater-california-drought-water-h20radio" rel="nofollow noreferrer">Here's a general-interest article from last year.</a> And some researchers at Arizona State University are <a href="https://asunow.asu.edu/20170118-nasa-satellites-aid-asu-researchers-california-drought-study" rel="nofollow noreferrer">using GRACE mission data to study the California drought.</a></p>

CC BY-SA 3.0
2017-02-23T16:39:18.753Z
2017-02-23T16:39:18.753Z
jeffronicus
<p>I would like to know how to calculate how much water fell on California during, for instance, the mid-February 2017 flood.  I know how to look up the total rainfall at a specific weather station.  And, given a meteorological model output, I could calculate the total water precipitated over some area.  However, I don't know of any standard method (using observations) to calculate total cumulative water fallen over some area.  I've seen multi-station precipitation indexes like the one shown below.  But, I don't know how to use that to calculate total water that has fallen to the ground.</p>

<p>Based on observations, how can we calculate the total cumulative water volume (or mass) that has fallen on a large area during a storm?  And, using that method, can we calculate how much water fell on California during the 2017 February flooding events?  The only thing I can think of is to use the rainfall measurements at every station, interpolate across the area of interest, and then integrate.  Though, that seems like quite an intensive GIS project.  Is there a better,standardized way to make the calculation?</p>

<p><a href="https://i.sstatic.net/H3QPU.png" rel="nofollow noreferrer"><img src="https://i.sstatic.net/H3QPU.png" alt="https://cdec.water.ca.gov/cgi-progs/products/PLOT_FSI.pdf"></a></p>

CC BY-SA 3.0
2017-02-23T01:54:40.647Z
Err... Which particular mid-February flood? There have been several so far, and we're still in mid-February.
jamesqf
CC BY-SA 3.0
2017-02-23T02:48:05.063Z
Any date range is fine.  I'm most interested in the method, not the exact date range.
f.thorpe
CC BY-SA 3.0
2017-02-24T19:28:16.733Z
May or may not be relevant to your particular problem, but remember that a flood may not just be the sum of the precipitation falling during the time of the flood.  For instance, in the Sierra Nevada it's not uncommon for major floods to be the result of a warm atmospheric river (AKA "Pineapple Express" raining on and melting a large part of the accumulated snowpack.
jamesqf
CC BY-SA 3.0
2017-02-24T22:23:21.617Z
@jamesqf good point about the snowpack, but for the purposes of this question I think it's appropriate to only consider precipitation.
f.thorpe
<meteorology><rainfall>
How can we calculate the total water mass that falls during a flood?
f.thorpe
# How can we calculate the total water mass that falls during a flood?

(Asked by: username_0 on 2017-02-22)

I would like to know how to calculate how much water fell on California during, for instance, the mid-February 2017 flood. I know how to look up the total rainfall at a specific weather station. And, given a meteorological model output, I could calculate the total water precipitated over some area. However, I don't know of any standard method (using observations) to calculate total cumulative water fallen over some area. I've seen multi-station precipitation indexes like the one shown below. But, I don't know how to use that to calculate total water that has fallen to the ground.

Based on observations, how can we calculate the total cumulative water volume (or mass) that has fallen on a large area during a storm? And, using that method, can we calculate how much water fell on California during the 2017 February flooding events? The only thing I can think of is to use the rainfall measurements at every station, interpolate across the area of interest, and then integrate. Though, that seems like quite an intensive GIS project. Is there a better,standardized way to make the calculation?

[![https://cdec.water.ca.gov/cgi-progs/products/PLOT_FSI.pdf](https://i.sstatic.net/H3QPU.png)](https://i.sstatic.net/H3QPU.png)

**Tags:** meteorology, rainfall

> **Comments:**
> **username_1**: Err... Which particular mid-February flood? There have been several so far, and we're still in mid-February.  
> **username_0**: Any date range is fine.  I'm most interested in the method, not the exact date range.  
> **username_1**: May or may not be relevant to your particular problem, but remember that a flood may not just be the sum of the precipitation falling during the time of the flood.  For instance, in the Sierra Nevada it's not uncommon for major floods to be the result of a warm atmospheric river (AKA "Pineapple Express" raining on and melting a large part of the accumulated snowpack.  
> **username_0**: @username_1 good point about the snowpack, but for the purposes of this question I think it's appropriate to only consider precipitation.  

---

## 4 answers

### Answer by username_2 on 2017-02-24. Score: 2

NASA's Global Precipitation Measurements Missions can measure rainfall from space:

Visible and infrared space-borne sensors can provide precipitation information inferred from cloud-top radiation, and microwave sensors provide direct precipitation measurement based on radiative signatures of precipitating particles. This type of information is not available through ground-based measuring systems.

[NASA's Integrated Multi-satellitE Retrievals for GPM (IMERG) were used to estimate the total amount of rain that fell over the western United States from January 17-24, 2017. Rainfall totals of over 9 inches (228.6 mm) were shown in some areas. IMERG rainfall totals have been adjusted to reflect observed values in other similar extreme rainfall events.](https://pmm.nasa.gov/extreme-weather/mudslides-flooding-produced-extreme-rainfall-over-southern-california)

You'll need to dig through the site to [find the correct dataset and format](https://pmm.nasa.gov/data-access), but it's likely in there.

NOAA also does a pretty good job of tracking ground-based measurements here:

[**Monthly Precipitation Summary Water Year 2017**](http://www.cnrfc.noaa.gov/monthly_precip.php)

We'll need to wait for the end of the month before the February numbers are posted, though. As for daily-tracked precipitation data, you can see that here:

[**Hydrology-meteorology Data Report**](http://www.wrh.noaa.gov/cnrfc/rsa_getprod.php?prod=RNORR5RSA&wfo=cnrfc&version=0)


---

### Answer by username_3 on 2017-02-23. Score: 2

You could use gridded model forecasts or reanalysis data to calculate the total water that precipitated.

Mathematically, the quantity you desire can be expressend by $$Q=\int\_{t\_0}^{t\_1}\Big[\iint\limits\_A R(x,y,t)dxdy\Big]dt=\iint\limits\_A P(x,y)dxdy$$
where $R$ is your precipitation rate, $P$ is your accumulated precipitation, and $Q$ is your desired quantity.

One possible way of computing that quantity (In a crude Riemannian method):

1. Get reanalysis data of accumulated rainfall, or interpolate observations ([NOMADS](https://www.ncdc.noaa.gov/data-access/model-data/model-datasets) is a good resource)
2. Read in the precipitation data, adjusting the values over multiple times, if needed.
3. Isolate the data associated with the gridpoints over your area of interest \*(such as California).
4. Sum the accumulated rainfall over all of your chosen gridpoints, and multiply the accumulated rainfall by the product of the resolution of the data (in inches). That should get you your data in cubic inches.


---

### Answer by username_4 on 2017-02-22. Score: 2

I don't have the answer for you, but I can point you to the tools that can be used to get such an answer. The [Advanced Hydrologic Prediction Service](http://water.weather.gov/precip/download.php) compiles rainfall grids using radar, surface observations, and a variety of other sources. Options offered include daily, month-to-date, and archived data.

You can probably quite reasonably put the Shapefile download option into a GIS application, such as [Grass GIS](http://www.esri.com/software/arcgis/explorer) or [ArcGIS](https://www.arcgis.com/features/index.html), then limit it to the state (or area of interest) and compute an average or total.

Alternative, you can download it as NetCDF, which I know you'd be able to open in [GrADS](http://cola.gmu.edu/grads/)/[OpenGrADS](http://opengrads.org/), mask it to a certain area using some sort of shape file or geometry, and then run an areal average on it.

I really do wish more straightforward, user-adaptable data were easily available (and no guarantee it's not, I just don't know a source). But at least this will give you the tools to figure out.

And while you're focused on rainfall, perhaps read up on central California's [Great Flood of 1852](https://en.wikipedia.org/wiki/Great_Flood_of_1862)!

---

One other way to get an estimate of the total volume of water would be to use stream flow values combined with reservoir level changes, and attempt to estimate what percentage of rainfall escapes the reservoir system. But at that point you're getting a very rough estimate, because the monitoring system doesn't measure every small stream emptying into the sea... and a significant (and varying) percentage of the water infiltrates the soil or evaporates. Those complications could be incorporated into the calculation, but in the end, that seems a complicated way to solve a problem we already have more complete information on.

You asked for how much water that is. Well, we can just as easily get a fair estimate from the map:

[![Feb precip](https://i.sstatic.net/1BtLB.png)](https://i.sstatic.net/1BtLB.png)
(month to date as of February 22nd)

If that's an average of 8" over the state of California, that's:  
$ \pu{8 in} \times \pu{163,696 mi}^2 =$ **[23 trillion gallons](https://www.wolframalpha.com/input/?i=8%22%20x%20163,696%20sqmi%20in%20gallons)**

Even if we're off by a factor of as much as 2 on the estimates, such that it's only 4" average, or alternatively 16" average, that just changes it to 11.5 trillion gallons and 46 trillion gallons.

Which begs the point... we don't often think in terms of trillions of gallons. Trillions of gallons seems a ton, but even just a meager 0.35" over the state would equate to a trillion gallons. Perhaps normalizing it to the area... such that it'd be $ \pu{140000 gal/mi^2}$... is a little better. But still, a typical person would struggle to recognize whether any given value in this form would result in a flood or a droughts.

That's why we often just work in terms of percentiles, or graphs, or return periods, or just give the average in terms of inches itself. It may not click great with everyone, but for many, such units are just a little more interpretable.

(And in case you wondered, a gallon of water weighs about [8.36 pounds](https://www.wolframalpha.com/input/?i=1%20gal%20of%20water%20in%20pounds), so that's about **100 trillion pounds** of water, again sounding like a lot, but to most people, so does 1 trillion pounds of water from a little 0.10" inch rain system)

> **Comments:**
> **username_1**: I don't think resevoir level changes are going to work right now, 'cause they're all pretty full, if not (like Oroville and the one south of San Jose) actually overflowing.  Maybe the method suggested below - get NWS daily precipitation numbers from all stations, and interpolate - would give the best answer.  Though if someone hasn't done it already, it would need some data collection & programming.  
> **username_4**: @username_1 Sorry should have included + stream flow, you're absolutely right, and I've updated to say that, and better spell out how it still misses a signicant percentage. In terms of interpolation between sites though, that's what this AHPS is about (and applies radar, which will give you a more realistic approximation than just interpolation)  
> **username_1**: I'd forgotten about moisture being absorbed into the soil before it gets to the resevoirs myself.  And of course above 5000 ft or so, a lot of precipitation is still sitting on the ground as snowpack...  

---

### Answer by username_5 on 2017-02-23. Score: 0

On a related note, there is another method, still being refined, that uses geodesy, the science of precisely measuring the shape of the earth and its gravity field.

Researchers have dotted California, and much of the seismically active United States, with GPS stations that can provide precise measurements of their distance from each other and their altitude, information which is useful for gauging movement along faultlines. But [researchers noticed during the past decade and a half that stations in drought-ridden areas had increased in altitude](https://www.scientificamerican.com/article/epic-drought-in-west-is-literally-moving-mountains/) -- as the mass of water in the ground was decreasing, the land surface itself was rising up.

Abstract for [Ongoing drought-induced uplift in the western United States](http://dx.doi.org/10.1126/science.1260279):

> The western United States has been experiencing severe drought since
> 2013. The solid earth response to the accompanying loss of surface and near-surface water mass should be a broad region of uplift. We use
> seasonally-adjusted time series from continuously operating GPS
> stations to measure this uplift, which we invert to estimate mass
> loss. The median uplift is 4 mm, with values up to 15 mm in
> California’s mountains. The associated pattern of mass loss, which
> ranges up to 50 cm of water equivalent, is consistent with observed
> decreases in precipitation and streamflow. We estimate the total
> deficit to be about 240 Gt, equivalent to a 10 cm layer of water over
> the entire region, or the annual mass loss from the Greenland Ice
> Sheet.

I was at a seminar last month where one of the researchers talked about using the same methodology to measure the mass increase from the ongoing storms in California, but I think it's too soon for any published research.

The GRACE satellite system also provides groundwater mass estimates. [Here's a general-interest article from last year.](http://www.hcn.org/articles/technology-groundwater-california-drought-water-h20radio) And some researchers at Arizona State University are [using GRACE mission data to study the California drought.](https://asunow.asu.edu/20170118-nasa-satellites-aid-asu-researchers-california-drought-study)


---

