Update figures

README.md

@@ -3,8 +3,8 @@
 
 # Boston Tides
 </p>
-<p align="center">
-    <em>Sea level rise and extreme value analysis for Boston IPCC AR6 Projections</em>
+<p align="left">
+    <em>Sea level rise and extreme value analysis for Boston using IPCC AR6 Projections</em>
 </p>
 
 <!-- Badges -->
@@ -19,35 +19,50 @@ Authors of original R code:
 - [Klaus Keller ](https://personal.ems.psu.edu/~kzk10/)
 - [Ryan Sriver](https://atmos.illinois.edu/directory/profile/rsriver)
 
-**Contact:** [Perry Oddo](https://perryoddo.com)
-
 ## Installation
 
 Clone repository to your device:
 ```shell
 git init
-```
-```shell
 git clone https://github.com/pcoddo/boston-tides.git
 ```
-
 Create Anaconda environment using `environment.yml` file:
 ```shell
 conda env create -f environment.yml
+conda activate tides
 ```
 
 ## Usage
-The three Jupyter Notebooks describe how to run the code:
-1. `ar6_fit_distribution.ipynb` Fits a lognormal distribution to the empirical sea level projections for Boston from the IPCC AR6.
+The following Jupyter Notebooks explain how to run the analysis:
+
+1. `ar6_fit_distribution.ipynb` Fits a lognormal distribution to the IPCC AR6 empirical sea level projections for Boston in the year 2100.
 ![distribution](https://raw.githubusercontent.com/pcoddo/boston-tides/main/img/distribution.png)
 
-2. `boston_slr.ipynb` Generates uncertain rejection sampling approach to generate uncertain sea level rise scenarios consistent with the IPCC expert assessment.
+2. `boston_slr.ipynb` Uses rejection sampling approach to generate uncertain sea level rise scenarios consistent with the IPCC expert assessment.
 ![projection](https://raw.githubusercontent.com/pcoddo/boston-tides/main/img/projection.png)
 
-3. `boston_gev.ipynb` Performs a generalized extreme value (GEV) analysis for the Boston tide gauge using block maxima and Markov chain Monte Carlo.
+3. `boston_gev.ipynb` Performs a generalized extreme value (GEV) analysis for the Boston tide gauge using block maxima and Markov chain Monte Carlo. Based on [pyextremes](https://github.com/georgebv/pyextremes) package.
 ![gev](https://raw.githubusercontent.com/pcoddo/boston-tides/main/img/gev.png)
 
-## Cited works
+## Dependencies
+**Python** version 3.7+
+
+**Packages:**
+  - ipython
+  - matplotlib
+  - scipy
+  - ipykernel
+  - scikit-learn
+  - statsmodels
+  - ipywidgets
+  - openpyxl
+  - netcdf4
+  - seaborn
+  - fitter
+  - easydev
+  - pyextremes
+
+## Referenced works
 - Lempert, R., Sriver, R. L., & Keller, K. (2012). Characterizing Uncertain Sea Level Rise Projections to Support Investment Decisions (No. CEC-500-2012-056). California Energy Commission Sacramento, CA, USA. Retrieved from http://ced.berkeley.edu/faculty/ratt/readings/ALL_THE_CLIMATE_PAPERS_2012/PoLA_revision_feb_28_2012.pdf
 
 - Oddo, P. C., Lee, B. S., Garner, G. G., Srikrishnan, V., Reed, P. M., Forest, C. E., & Keller, K. (2017). Deep Uncertainties in Sea-Level Rise and Storm Surge Projections: Implications for Coastal Flood Risk Management. Risk Analysis. https://doi.org/10.1111/risa.12888
@@ -64,49 +79,11 @@ The three Jupyter Notebooks describe how to run the code:
 ## Acknowledgements
 We thank the projection authors for developing and making the sea-level rise projections available, multiple funding agencies for supporting the development of the projections, and the NASA Sea-Level Change Team for developing and hosting the IPCC AR6 Sea-Level Projection Tool. Special thanks to [Gregory Garner](https://sites.google.com/site/gggarner121) for providing subset of full projections for the Boston Tide gauge.
 
-
-## Table of contents
-
-<!-- After you have introduced your project, it is a good idea to add a **Table of contents** or **TOC** as **cool** people say it. This would make it easier for people to navigate through your README and find exactly what they are looking for.
-
-Here is a sample TOC(*wow! such cool!*) that is actually the TOC for this README. -->
-
-- [Project Title](#project-title)
-- [Demo-Preview](#demo-preview)
-- [Table of contents](#table-of-contents)
-- [Installation](#installation)
-- [Usage](#usage)
-- [Development](#development)
-- [Contribute](#contribute)
-    - [Sponsor](#sponsor)
-    - [Adding new features or fixing bugs](#adding-new-features-or-fixing-bugs)
-- [License](#license)
-- [Footer](#footer)
-
-## Installation
-[(^)](#table-of-contents)
-
-<!-- *You might have noticed the **Back to top** button(if not, please notice, it's right there!). This is a good idea because it makes your README **easy to navigate.*** 
-
-The first one should be how to install(how to generally use your project or set-up for editing in their machine).
-
-This should give the users a concrete idea with instructions on how they can use your project repo with all the steps.
-
-Following this steps, **they should be able to run this in their device.**
-
-A method I use is after completing the README, I go through the instructions from scratch and check if it is working. -->
-
-<!-- Here is a sample instruction:
-
-To use this project, first clone the repo on your device using the command below:
-
-```git init```
-
-```git clone https://github.com/navendu-pottekkat/nsfw-filter.git``` -->
-
 ## License
 [MIT License](https://opensource.org/licenses/MIT)
 
+## Questions?
+**Contact:** [Perry Oddo](https://perryoddo.com)
 
 [(Back to top)](#About)
 

environment.yaml

@@ -1,4 +1,4 @@
-name: gev
+name: tides
 channels:
   - conda-forge
   - defaults
@@ -17,4 +17,4 @@ dependencies:
   - fitter
   - easydev
   - pyextremes
-prefix: /home/poddo/.conda/envs/gev
+prefix: /home/poddo/.conda/envs/tides