John Hammond

Such beautiful forests and streams!

Implication: Hydrological models and land‑management plans need to incorporate local context (watershed structure, pre‑fire conditions) rather than assuming a standard post‑fire hydrologic shift.

The study analyses data from 898 burned catchments and over 8,000 unburned control catchments to assess post‑wildfire hydrological trends.

“Universal hydrological trends post‑wildfire are obscured by local watershed variability”
iopscience.iop.org/article/10.1...

#Hydrology #Wildfire #WatershedProcesses #Streamflow #WaterResources

We're hiring! LCSG seeks a program specialist to join our team [text superimposed on a picture of the Lake Champlain shoreline]

We're seeking a Program Specialist to lead communications, coordinate federal reporting, and support program initiatives for Lake Champlain Sea Grant and two allied programs. Learn more and apply online at www.uvmjobs.com/postings/84002.

Hydrology Paper of the Day @felipesaa.bsky.social @lytarasova.bsky.social on accurate modelling of nitrate concentration: capturing soil moisture patterns and hydrological connectivity during wet and dry conditions; pattern identification with explainable AI; and catchments in the Midwestern US.

Stream Name Counts | #
1) Mill Creek 6213
2) Spring Creek 5862
3) Dry Creek 5750
4) Bear Creek 4945
5) Beaver Creek 4740
6) Rock Creek 4514
7) Indian Creek 4231
8) Cedar Creek 3849
9) Willow Creek 3777
10) Cottonwood Creek 3694
11) Big Creek 3424
12) Clear Creek 3223

In many cases, the most common headwater stream name in region, but in some regions longer rivers like the Rio Grande have more named segments than headwater creeks of one name. Derived from NHDplusV2 flowlines. Table below is for the whole U.S. together, without separating by region.

Ever wonder how streams and rivers differ in naming across the country and what the most common names are? Here are the most common names of stream/river segments by HUC2 region across the U.S.

Thank you @kinarnicholas.bsky.social !

Almost 75,000 farmed salmon in Scotland escaped into the wild after Storm Amy. Why this may cause lasting damage When Storm Amy battered the Scottish Highlands in early October, it tore through a salmon farm's sea pens, releasing around 75,000 fish into open water in Loch Linnhe. The scale of the escape is alarm...

Hydrological extreme impact on aquatic species in the news: phys.org/news/2025-10...

Added!

Current forecast map from ECMWF model showing accumulated precipitation over the next 72 hours. A widespread region of 3-5 inches is indicated across much of Southern California.

Expected impacts from this weekend's major SoCal storm--which now appears likely to feature widespread flood risk and also a few severe thunderstorms--continue to increase. I will have a blog post and YouTube livestream at a TBD time later today to discuss. #CAwx

Highlights why forecasts need to capture these cross-timescale links, especially under changing climate and land use.

lnkd.in/epz5_ZBZ

#Hydrology #Streamflow #Timescales #WaterResources

“On the Structure of Temporal Variability of Streamflow Responses and the Role of Timescale Interactions — A Synthesis”

A nice synthesis showing how streamflow variability emerges from interacting timescales — fast events like storms intertwined with slower processes like soil moisture and memory.

Still some time to apply for a PhD position in my group @ufz.de in my group with the focus on streams, hydrometric and isotopic signatures and ML: recruitingapp-5128.de.umantis.com/Vacancies/32... Looking forward for your applications 🤩

Added!

Thank you Niklas!

The National Water Availability Assessment cyberseminar series is back on schedule for next week! USGS's Althea Archer and Anthony Martinez for, Communicating the Science with Data Science and Visualizations.

November 19, 12pm-1pm ET

More information available on our website - lnkd.in/e_a8u-Tp

I have to mention David Hill at OSU and Elmera Azadpour at USGS who have used Ridge plots similarly in the past observablehq.com/d/4ed013d6d0...

#hydrologicalextremes

I hope you found these images interesting if not visually appealing, and please let me know if you’d like me to share the code used to make these! I also have these plots prebuilt for about 3000 USGS gauges that had 40 or more years of record, so if you want to see a site, please let me know!

Finally, I got to explore the high elevations of North Central Colorado, where I studied stream flow generation in snow dominated areas, some of them semiarid.

While in Oregon, I got to study the difference in stream flow dynamics between above dam and below dam sites, with an example of a blow, dam hydrograph shown by the site in Oregon.

From there, it was off to Oregon or I got to experience the distinct wet and dry seasons of a Mediterranean like climate

My first real job after I left Maryland was as a national Park range at North Cascades national Park in Washington state. There I got to experience seasonal snow, melt for the first time, and got to explore many of the hundreds of glaciers in the region!

Now here are the same types of plots for an exclusively rain driven system closer to where I live in Maryland now, and where I grew up. I distinctly remember the super low periods of 1999 in 2002 when our yard had deep cracks in the clay soils.

I love looking at the data this way, because we can more easily see the transitions between periods of higher than normal flow and lower than normal flow, or vice versa

Here’s another way of looking at the data, where each box is for a separate year and the shaded coloring shows below normal regions of flow and warm colors and higher than normal flows in blue colors as defined by the 40 year period of record. The black line is for that year’s flow.

This example shows a watershed with a clear seasonal snow melt freshet in the spring. One thing I haven’t quite worked out yet is how to have the years with below normal snow melt or later than normal snow melt still display when the data is hidden behind the higher than normal peaks.